Lenka.no - Ressurser for lenka data-entusiaster i Norge

Lenka.no samler interessante ressurser rundt lenka data (aka Linked Data, aka RDF, aka Semantisk Web, aka semantiske kunnskapsgrafer), med fokus på ressurser tilknyttet Norge. Ressursene er gruppert i følgende kategorier:

Det er også mer om siden og en del om hvordan du kan hente ut data.

Introduksjon til lenka data

Vi trenger alle å starte et sted, eller kanskje det kan være greit med en oppfrisker. I denne listen er det ressurser av økende lengde, og burde gi en god oversikt over hva Linked Data er.

Tim Berners-Lee: The next Web of open, linked data

A great presentation by Sir Tim Berners-Lee's on TED 2009. The video might be old, but Tim has been and is an important figure in the development of Linked Data, and his vision holds to this day.

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A brief introduction to linked data

A very good read that introduces the most important concepts in Linked Data, with illustrations and easy to understand examples.

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Guide to RDF

This is an article I wrote for rdfjs.dev, a website I built for developers who want to combine Linked Data and front-end technologies. Even if you aren't into JavaScript or the like, I think you'll get something out of this text.

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Getting Started with RDF & SPARQL

If you prefer video this ~30 min presentation by Stardog Academy is worth a watch.

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RDF Primer

If you want a more comprehensive introduction to Linked Data, the classic "RDF Primer" is your best bet. It's over 20 years old, but is still relevant for foundational understanding of Linked Data.

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Møteplasser

I denne listen finner du grupper som du kan møte andre interesserte i Linked Data. (Jeg har et stort bias for Oslo siden jeg bor her, så tar gjerne imot hjelp med å finne møteplasser i andre byer.)

Graph Databases - Oslo

Neo4j
Meetup
Oslo

This meetup will aim to provide a wonderful community around graph databases in general, and Neo4j specifically. We want to provide a forum for the exchange of ideas, networking, sharing of best practices, and technical+business tips that will help the adoption of graph databases in all kinds of organisations - small and large, corporate or government, for profit and academic.

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Knowledge Graph Oslo

Meetup
Oslo

A meetup group for anyone interested in Knowledge Graphs (KGs), data exchange, linked data, accessible semantics of data, and moving from data to knowledge.

Topics of interest:

W3C Stack (RDF, RDFS, SPARQL, OWL, SHACL), and surrounding tools and technologies
Neo4j and other LPG implementations
NLP, LLM, ML & GenAI related to KGs

If you have something you want to share with the community, please reach out and we can schedule an event! 🌟

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Oslo Data Science Meetup

AI
Meetup
Oslo

This meetup is for people who are doing data science and machine learning. We focus on exploring data challenges both from modelling and a data processing perspectives.

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Kurs

Om du er student og ønsker en mer akademisk tilnærming til Linked Data så kan det hende denne listen hjelper deg.

IN3060 – Semantic Technologies

Oslo
Universitetet i Oslo

After taking this course you'll:

have an overview of basic standards (RDF, RDFS, OWL, SPARQL) in semantic technologies
have a good understanding of the theoretical foundation for such technologies, both in terms of semantics and syntactic reasoning
know how to use libraries to use the technology in their own applications
know about ontologies: what they are, how to make them, what to use them for
have an overview of existing applications
be able to use semantic technologies to solve issues in web development, data integration and data transfer

Gå til kurs

Data kataloger

Om du er interessert i Linked Data kan det fort hende at du også er interessert i data-kilder av forskjellig slag.

data.norge.no

Data katalog

Data.norge.no gir en omfattende oversikt over datasett, begreper, API-er, informasjonsmodeller, tjenester og hendelser i offentlig sektor, inkludert data med juridiske begrensninger som taushetsplikt eller personopplysninger.

Gå til data katalog

Stortinget | Åpne data

Data katalog

Stortingets datatjeneste tilbyr uttrekk fra databaser som benyttes i Stortingets parlamentariske saksbehandling.

Gå til data katalog

Lesestoff

I denne listen finner du diverse ressurser med guider, vokabular, og andre samlinger med nyttige ressurser.

Awesome Semantic Web

Samling av ressurser

A curated list of various semantic web and linked data resources.

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Linked Open Vocabularies (LOV)

Vokabular

LOV provides a choice of several hundreds of such vocabularies, based on quality requirements including URI stability and availability on the Web, use of standard formats and publication best practices, quality metadata and documentation, identifiable and trustable publication body, proper versioning policy.

Gå til lesestoff

RDF standarder og biblioteker i JavaScript

Samling av ressurser
JavaScript

En liste over alle standarder og bibliotek for arbeid med semantiske kunnskapsgrafer i JavaScript

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RDF + JS = ❤️

Samling av ressurser
JavaScript
TypeScript

En liste med guider og hjelpemateriell for å finne hvilket bibliotek man ønsker å ta i bruk i sitt JavaScript eller TypeScript prosjekt

Gå til lesestoff

Schema.org️

Vokabular

Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet.

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W3C RDF standarder og pågående arbeid

Standard
Samling av ressurser

En liste over alle W3C standarder og arbeid pågående for semantiske kunnskapsgrafer

Gå til lesestoff

Applikasjoner og bibliotek

I denne listen finner du programvare som er relatert til Linked Data. Denne er langt fra uttømmende, jeg vil anbefale Awesome Semantic Web som en bedre ressurs å sjekke ut for flere eksempler.

Apache Jena

Bibliotek
Java

Apache Jena (or Jena in short) is a free and open source Java framework for building semantic web and Linked Data applications. The framework is composed of different APIs interacting together to process RDF data.

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Apache Jena Fuseki

Server
Java
SPARQL

Apache Jena Fuseki is a SPARQL server. It can run as a standalone server, or embedded in an application.

Fuseki provides the SPARQL 1.1 protocols for query and update as well as the SPARQL Graph Store protocol.

Fuseki is integrated with TDB to provide a robust, transactional, persistent storage layer. Fuseki also incorporates Jena text query.

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dotNetRDF

Bibliotek
.NET

dotNetRDF is...

A complete library for parsing, managing, querying and writing RDF.
A common .NET API for working with RDF triple stores such as AllegroGraph, Jena, Stardog and Virtuoso.
A suite of command-line and GUI tools for working with RDF under Windows
Free (as in beer) and Open Source (as in freedom) under a permissive MIT license.

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Eclipse RDF4J

Bibliotek
Java
SPARQL

Eclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing, scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected to all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web.

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Linked Data Objects (LDO)

Bibliotek
JavaScript
TypeScript
ShEx

Solid and RDF without the Complexity

Although it's still experimental, LDO is one of the best libraries in terms of developer experience when working with front-end projects and Linked Data.

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neosemantics (n10s): Neo4j RDF & Semantics toolkit

Server
Neo4j
SHACL
SPARQL

neosemantics (n10s) is a plugin that enables the use of RDF and its associated vocabularies like (OWL, RDFS, SKOS and others) in Neo4j.

You can use n10s to build integrations with RDF-generating / RDF-consuming components. You can also use it to validate your graph against constraints expressed in SHACL or to run basic inferencing.

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rdflib.js

Bibliotek
JavaScript
SPARQL

Javascript RDF library for browsers and Node.js.

Reads and writes RDF/XML, Turtle and N3; Reads RDFa and JSON-LD
Read/Write Linked Data client, using WebDav or SPARQL/Update
Real-Time Collaborative editing with web sockets and PATCHes
Local API for querying a store
Compatible with RDFJS task force spec
SPARQL queries (not full SPARQL - just graph match and optional)
Smushing of nodes from owl:sameAs, and owl:{f,inverseF}unctionProperty
Tracks provenance of triples keeps metadata (in RDF) from HTTP accesses

Gå til applikasjon

RDFLib

Bibliotek
Python

RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including:

parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig, JSON-LD and even HexTuples
a Graph interface which can be backed by any one of a number of Store implementations
Store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints
additional Stores can be supplied via plugins
a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements
SPARQL function extension mechanisms

Many 3rd party packages support additional Stores, parsers etc.

Gå til applikasjon

RDFox

Server
C
C++
Java
SPARQL

The world's most performant knowledge graph and knowledge based AI engine.

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Om lenka.no

Om du har tilbakemeldinger eller ønsker å legge til mer informasjon, sjekk ut GitHub-repoet.

Nettsiden er utviklet og drives av Arne Hassel. Domenet ble donert av Kjetil Kjernsmo.

Serialiseringer

Dataen på denne siden er tilgjengelig som HTML+RDFa (nettsiden du leser nå), Turtle, JSON-LD, og RDF/XML. Om du ønsker å motta et spesifikt format så er det viktig å be om riktig media-type. Disse er:

HTML+RDFa: text/html (standard)
JSON-LD: application/ld+json
RDF/XML: application/rdf+xml
Turtle: text/turtle

JSON-LD

curl --header "Accept: application/ld+json" https://www.lenka.no

{
  "@context": {
    "description": "schema:description",
    "keywords": "schema:keywords",
    "lenka": "https://lenka.no#",
    "name": "schema:name",
    "schema": "https://schema.org/",
    "url": "schema:url"
  },
  "@graph": [
    {
      "@id": "lenka:ai",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "AI"
      }
    },
    {
      "@id": "lenka:intro-to-linked-data",
      "@type": "schema:Collection",
      "schema:hasPart": [
        {
          "@id": "lenka:ted-timbl-linked-data"
        },
        {
          "@id": "lenka:ontola-rdf-brief-introduction"
        },
        {
          "@id": "lenka:rdfjs-guide-to-rdf"
        },
        {
          "@id": "lenka:stardog-academy-getting-started"
        },
        {
          "@id": "lenka:rdf-primer"
        }
      ]
    },
    {
      "@id": "lenka:rdf-js-org",
      "@type": "schema:CreativeWork",
      "description": [
        {
          "@language": "no",
          "@value": "En liste over alle standarder og bibliotek for arbeid med semantiske kunnskapsgrafer i JavaScript"
        },
        {
          "@language": "en",
          "@value": "A list of all standards and drafts related to semantic knowledge graphs in JavaScript"
        }
      ],
      "keywords": [
        {
          "@id": "lenka:resource-collection"
        },
        {
          "@id": "lenka:javascript"
        }
      ],
      "name": [
        {
          "@language": "no",
          "@value": "RDF standarder og biblioteker i JavaScript"
        },
        {
          "@language": "en",
          "@value": "RDF JavaScript standards and libraries"
        }
      ],
      "url": {
        "@id": "https://rdf.js.org/"
      }
    },
    {
      "@id": "lenka:uio",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "University of Oslo"
        },
        {
          "@language": "no",
          "@value": "Universitetet i Oslo"
        }
      ]
    },
    {
      "@id": "lenka:sparql",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "SPARQL"
      }
    },
    {
      "@id": "lenka:apache-jena",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\nApache Jena (or Jena in short) is a free and open source Java framework for building semantic web and Linked Data\napplications. The framework is composed of different APIs interacting together to process RDF data.\n"
      },
      "keywords": [
        {
          "@id": "lenka:library"
        },
        {
          "@id": "lenka:java"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Apache Jena"
      },
      "url": {
        "@id": "https://jena.apache.org/"
      }
    },
    {
      "@id": "lenka:rdfox",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "The world's most performant knowledge graph and knowledge based AI engine."
      },
      "keywords": [
        {
          "@id": "lenka:server"
        },
        {
          "@id": "lenka:c"
        },
        {
          "@id": "lenka:cpp"
        },
        {
          "@id": "lenka:java"
        },
        {
          "@id": "lenka:sparql"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "RDFox"
      },
      "url": {
        "@id": "https://www.oxfordsemantic.tech/rdfox"
      }
    },
    {
      "@id": "lenka:c",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "C"
      }
    },
    {
      "@id": "lenka:specification",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "Specification"
        },
        {
          "@language": "no",
          "@value": "Standard"
        }
      ]
    },
    {
      "@id": "lenka:shacl",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "SHACL"
      }
    },
    {
      "@id": "lenka:server",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "Server"
      }
    },
    {
      "@id": "lenka:rdfjs-guide-to-rdf",
      "@type": "schema:Article",
      "description": {
        "@language": "en",
        "@value": "This is an article I wrote for rdfjs.dev, a website I built for developers who want to\n       combine Linked Data and front-end technologies. Even if you aren't into JavaScript or the like, I think you'll get\n       something out of this text."
      },
      "name": {
        "@language": "en",
        "@value": "Guide to RDF"
      },
      "url": {
        "@id": "https://rdfjs.dev/rdf"
      }
    },
    {
      "@id": "lenka:oslo-data-science",
      "@type": "schema:Organization",
      "description": {
        "@language": "en",
        "@value": "\nThis meetup is for people who are doing data science and machine learning. We focus on exploring data challenges both\nfrom modelling and a data processing perspectives."
      },
      "keywords": [
        {
          "@id": "lenka:ai"
        },
        {
          "@id": "lenka:meetup"
        },
        {
          "@id": "lenka:oslo"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Oslo Data Science Meetup"
      },
      "url": {
        "@id": "https://www.meetup.com/oslo-data-science/"
      }
    },
    {
      "@id": "lenka:apache-jena-fuseki",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\nApache Jena Fuseki is a SPARQL server. It can run as a standalone server, or embedded in an application.\n\nFuseki provides the SPARQL 1.1 protocols for query and update as well as the SPARQL Graph Store protocol.\n\nFuseki is integrated with TDB to provide a robust, transactional, persistent storage layer. Fuseki also incorporates\nJena text query."
      },
      "keywords": [
        {
          "@id": "lenka:server"
        },
        {
          "@id": "lenka:java"
        },
        {
          "@id": "lenka:sparql"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Apache Jena Fuseki"
      },
      "url": {
        "@id": "https://jena.apache.org/documentation/fuseki2/"
      }
    },
    {
      "@id": "lenka:dotnet",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": ".NET"
      }
    },
    {
      "@id": "lenka:resource-collection",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "Resource Collection"
        },
        {
          "@language": "no",
          "@value": "Samling av ressurser"
        }
      ]
    },
    {
      "@id": "lenka:data-stortinget-no",
      "@type": "schema:DataCatalog",
      "description": [
        {
          "@language": "no",
          "@value": "\nStortingets datatjeneste tilbyr uttrekk fra databaser som benyttes i Stortingets parlamentariske saksbehandling."
        },
        {
          "@language": "en",
          "@value": "\nThe data service of the Norwegian parliament, Stortinget, which offer datasets that are used in the work of the\nparliamentary organization."
        }
      ],
      "keywords": {
        "@id": "lenka:data-catalog"
      },
      "name": {
        "@language": "no",
        "@value": "Stortinget | Åpne data"
      },
      "url": {
        "@id": "https://data.stortinget.no/"
      }
    },
    {
      "@id": "lenka:data-norge-no",
      "@type": "schema:DataCatalog",
      "description": [
        {
          "@language": "no",
          "@value": "\nData.norge.no gir en omfattende oversikt over datasett, begreper, API-er, informasjonsmodeller, tjenester og hendelser\ni offentlig sektor, inkludert data med juridiske begrensninger som taushetsplikt eller personopplysninger."
        },
        {
          "@language": "en",
          "@value": "\nData.norge.no provides a comprehensive overview of datasets, concepts, APIs, information models, services, and events\nin the public sector, including data with legal restrictions such as confidentiality or personal information."
        }
      ],
      "keywords": {
        "@id": "lenka:data-catalog"
      },
      "name": {
        "@language": "en",
        "@value": "data.norge.no"
      },
      "url": {
        "@id": "https://data.norge.no/"
      }
    },
    {
      "@id": "lenka:stardog-academy-getting-started",
      "@type": "schema:VideoObject",
      "description": {
        "@language": "en",
        "@value": "If you prefer video this ~30 min presentation by Stardog Academy is worth a watch."
      },
      "name": {
        "@language": "en",
        "@value": "Getting Started with RDF & SPARQL"
      },
      "url": {
        "@id": "https://www.youtube.com/watch?v=bDxclRhDb-o"
      }
    },
    {
      "@id": "lenka:rdflib-javascript",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\nJavascript RDF library for browsers and Node.js.\n\n- Reads and writes RDF/XML, Turtle and N3; Reads RDFa and JSON-LD\n- Read/Write Linked Data client, using WebDav or SPARQL/Update\n- Real-Time Collaborative editing with web sockets and PATCHes\n- Local API for querying a store\n- Compatible with RDFJS task force spec\n- SPARQL queries (not full SPARQL - just graph match and optional)\n- Smushing of nodes from owl:sameAs, and owl:{f,inverseF}unctionProperty\n- Tracks provenance of triples keeps metadata (in RDF) from HTTP accesses\n"
      },
      "keywords": [
        {
          "@id": "lenka:library"
        },
        {
          "@id": "lenka:javascript"
        },
        {
          "@id": "lenka:sparql"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "rdflib.js"
      },
      "url": {
        "@id": "https://github.com/linkeddata/rdflib.js/"
      }
    },
    {
      "@id": "lenka:ldo",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\n> Solid and RDF without the Complexity\n\nAlthough it's still experimental, LDO is one of the best libraries in terms of developer experience when\nworking with front-end projects and Linked Data."
      },
      "keywords": [
        {
          "@id": "lenka:library"
        },
        {
          "@id": "lenka:javascript"
        },
        {
          "@id": "lenka:typescript"
        },
        {
          "@id": "lenka:shex"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Linked Data Objects (LDO)"
      },
      "url": {
        "@id": "https://ldo.js.org/"
      }
    },
    {
      "@id": "lenka:rdf-primer",
      "@type": "schema:Article",
      "description": {
        "@language": "en",
        "@value": "If you want a more comprehensive introduction to Linked Data, the classic \"RDF Primer\" is your best bet.\n        It's over 20 years old, but is still relevant for foundational understanding of Linked Data."
      },
      "name": {
        "@language": "en",
        "@value": "RDF Primer"
      },
      "url": {
        "@id": "https://www.w3.org/TR/rdf-primer/"
      }
    },
    {
      "@id": "lenka:ontola-rdf-brief-introduction",
      "@type": "schema:Article",
      "description": {
        "@language": "en",
        "@value": "A very good read that introduces the most important concepts in Linked Data, with\n       illustrations and easy to understand examples."
      },
      "name": {
        "@language": "en",
        "@value": "A brief introduction to linked data"
      },
      "url": {
        "@id": "https://ontola.io/blog/what-is-linked-data"
      }
    },
    {
      "@id": "lenka:javascript",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "JavaScript"
      }
    },
    {
      "@id": "lenka:neo4j",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "Neo4j"
      }
    },
    {
      "@id": "lenka:eclipse-rdf4j",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\nEclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing,\nscalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected\nto all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that\nleverage the power of linked data and Semantic Web."
      },
      "keywords": [
        {
          "@id": "lenka:library"
        },
        {
          "@id": "lenka:java"
        },
        {
          "@id": "lenka:sparql"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Eclipse RDF4J"
      },
      "url": {
        "@id": "https://rdf4j.org/"
      }
    },
    {
      "@id": "lenka:dot-net-rdf",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\ndotNetRDF is...\n\n- A complete library for parsing, managing, querying and writing RDF.\n- A common .NET API for working with RDF triple stores such as AllegroGraph, Jena, Stardog and Virtuoso.\n- A suite of command-line and GUI tools for working with RDF under Windows\n- Free (as in beer) and Open Source (as in freedom) under a permissive MIT license."
      },
      "keywords": [
        {
          "@id": "lenka:library"
        },
        {
          "@id": "lenka:dotnet"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "dotNetRDF"
      },
      "url": {
        "@id": "https://dotnetrdf.org/"
      }
    },
    {
      "@id": "lenka:java",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "Java"
      }
    },
    {
      "@id": "lenka:shex",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "ShEx"
      }
    },
    {
      "@id": "lenka:ted-timbl-linked-data",
      "@type": "schema:VideoObject",
      "description": {
        "@language": "en",
        "@value": "A great presentation by Sir Tim Berners-Lee's on TED 2009. The video might be old, but Tim\n        has been and is an important figure in the development of Linked Data, and his vision holds to this day."
      },
      "name": {
        "@language": "en",
        "@value": "Tim Berners-Lee: The next Web of open, linked data"
      },
      "url": {
        "@id": "https://www.youtube.com/watch?v=OM6XIICm_qo"
      }
    },
    {
      "@id": "lenka:awesome-semantic-web",
      "@type": "schema:CreativeWork",
      "description": {
        "@language": "en",
        "@value": "A curated list of various semantic web and linked data resources."
      },
      "keywords": {
        "@id": "lenka:resource-collection"
      },
      "name": {
        "@language": "en",
        "@value": "Awesome Semantic Web"
      },
      "url": {
        "@id": "https://github.com/semantalytics/awesome-semantic-web"
      }
    },
    {
      "@id": "lenka:w3c-specifications",
      "@type": "schema:CreativeWork",
      "description": [
        {
          "@language": "no",
          "@value": "En liste over alle W3C standarder og arbeid pågående for semantiske kunnskapsgrafer"
        },
        {
          "@language": "en",
          "@value": "A list of all W3C standards and drafts related to semantic knowledge graphs"
        }
      ],
      "keywords": [
        {
          "@id": "lenka:specification"
        },
        {
          "@id": "lenka:resource-collection"
        }
      ],
      "name": [
        {
          "@language": "no",
          "@value": "W3C RDF standarder og pågående arbeid"
        },
        {
          "@language": "en",
          "@value": "W3C standards and drafts on RDF"
        }
      ],
      "url": {
        "@id": "https://www.w3.org/TR/?tags[0]=data"
      }
    },
    {
      "@id": "lenka:library",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "Library"
        },
        {
          "@language": "no",
          "@value": "Bibliotek"
        }
      ]
    },
    {
      "@id": "lenka:graph",
      "@type": "schema:Organization",
      "description": {
        "@language": "en",
        "@value": "\nThis meetup will aim to provide a wonderful community around graph databases in general, and Neo4j specifically. We\nwant to provide a forum for the exchange of ideas, networking, sharing of best practices, and technical+business tips\nthat will help the adoption of graph databases in all kinds of organisations - small and large, corporate or government,\nfor profit and academic."
      },
      "keywords": [
        {
          "@id": "lenka:neo4j"
        },
        {
          "@id": "lenka:meetup"
        },
        {
          "@id": "lenka:oslo"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Graph Databases - Oslo"
      },
      "url": {
        "@id": "https://www.meetup.com/graphdb-oslo/"
      }
    },
    {
      "@id": "lenka:knowledge-graph-oslo",
      "@type": "schema:Organization",
      "description": {
        "@language": "en",
        "@value": "\nA meetup group for anyone interested in Knowledge Graphs (KGs), data exchange, linked data, accessible semantics\nof data, and moving from data to knowledge.\n\nTopics of interest:\n\n* W3C Stack (RDF, RDFS, SPARQL, OWL, SHACL), and surrounding tools and technologies\n* Neo4j and other LPG implementations\n* NLP, LLM, ML & GenAI related to KGs\n\nIf you have something you want to share with the community, please reach out and we can schedule an event! 🌟"
      },
      "keywords": [
        {
          "@id": "lenka:meetup"
        },
        {
          "@id": "lenka:oslo"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "Knowledge Graph Oslo"
      },
      "url": {
        "@id": "https://www.meetup.com/knowledge-graph-oslo/"
      }
    },
    {
      "@id": "lenka:uio-in3060",
      "@type": "schema:Course",
      "description": {
        "@language": "en",
        "@value": "\nAfter taking this course you'll:\n\n- have an overview of basic standards (RDF, RDFS, OWL, SPARQL) in semantic technologies\n- have a good understanding of the theoretical foundation for such technologies, both in terms of semantics and\nsyntactic reasoning\n- know how to use libraries to use the technology in their own applications\n- know about ontologies: what they are, how to make them, what to use them for\n- have an overview of existing applications\n- be able to use semantic technologies to solve issues in web development, data integration and data transfer\n"
      },
      "keywords": [
        {
          "@id": "lenka:oslo"
        },
        {
          "@id": "lenka:uio"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "IN3060 – Semantic Technologies"
      },
      "url": {
        "@id": "https://www.uio.no/studier/emner/matnat/ifi/IN3060/index-eng.html"
      }
    },
    {
      "@id": "lenka:meetup",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "Meetup"
      }
    },
    {
      "@id": "lenka:python",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "Python"
      }
    },
    {
      "@id": "lenka:neosemantics",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\nneosemantics (n10s) is a plugin that enables the use of RDF and its associated vocabularies like (OWL, RDFS, SKOS and\nothers) in Neo4j.\n\nYou can use n10s to build integrations with RDF-generating / RDF-consuming components. You can also use it to validate\nyour graph against constraints expressed in SHACL or to run basic inferencing.\n"
      },
      "keywords": [
        {
          "@id": "lenka:server"
        },
        {
          "@id": "lenka:neo4j"
        },
        {
          "@id": "lenka:shacl"
        },
        {
          "@id": "lenka:sparql"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "neosemantics (n10s): Neo4j RDF & Semantics toolkit"
      },
      "url": {
        "@id": "https://neo4j.com/labs/neosemantics/"
      }
    },
    {
      "@id": "lenka:oslo",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "Oslo"
        },
        {
          "@language": "no",
          "@value": "Oslo"
        }
      ]
    },
    {
      "@id": "lenka:cpp",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "C++"
      }
    },
    {
      "@id": "lenka:schema-org",
      "@type": "schema:CreativeWork",
      "description": {
        "@language": "en",
        "@value": "\nSchema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for\nstructured data on the Internet."
      },
      "keywords": {
        "@id": "lenka:vocabulary"
      },
      "name": {
        "@language": "en",
        "@value": "Schema.org️"
      },
      "url": {
        "@id": "schema:"
      }
    },
    {
      "@id": "lenka:vocabulary",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "Vocabulary"
        },
        {
          "@language": "no",
          "@value": "Vokabular"
        }
      ]
    },
    {
      "@id": "lenka:rdflib-python",
      "@type": "schema:SoftwareApplication",
      "description": {
        "@language": "en",
        "@value": "\nRDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including:\n\n- parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig, JSON-LD and even HexTuples\n- a Graph interface which can be backed by any one of a number of Store implementations\n- Store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints\n  - additional Stores can be supplied via plugins\n- a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements\n- SPARQL function extension mechanisms\n\nMany 3rd party packages support additional Stores, parsers etc."
      },
      "keywords": [
        {
          "@id": "lenka:library"
        },
        {
          "@id": "lenka:python"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "RDFLib"
      },
      "url": {
        "@id": "https://rdflib.dev/"
      }
    },
    {
      "@id": "lenka:lov",
      "@type": "schema:CreativeWork",
      "description": {
        "@language": "en",
        "@value": "\nLOV provides a choice of several hundreds of such vocabularies, based on quality requirements including URI stability\nand availability on the Web, use of standard formats and publication best practices, quality metadata and documentation,\nidentifiable and trustable publication body, proper versioning policy."
      },
      "keywords": {
        "@id": "lenka:vocabulary"
      },
      "name": {
        "@language": "en",
        "@value": "Linked Open Vocabularies (LOV)"
      },
      "url": {
        "@id": "https://lov.linkeddata.es/dataset/lov/"
      }
    },
    {
      "@id": "lenka:rdfjs-dev",
      "@type": "schema:CreativeWork",
      "description": [
        {
          "@language": "no",
          "@value": "\nEn liste med guider og hjelpemateriell for å finne hvilket bibliotek man ønsker å ta i bruk i sitt JavaScript eller\nTypeScript prosjekt"
        },
        {
          "@language": "en",
          "@value": "\nA list og guides and material to help you figure out which library you want to make use of in your JavaScript or\nTypeScript project."
        }
      ],
      "keywords": [
        {
          "@id": "lenka:resource-collection"
        },
        {
          "@id": "lenka:javascript"
        },
        {
          "@id": "lenka:typescript"
        }
      ],
      "name": {
        "@language": "en",
        "@value": "RDF + JS = ❤️"
      },
      "url": {
        "@id": "https://rdfjs.dev/"
      }
    },
    {
      "@id": "lenka:typescript",
      "@type": "schema:DefinedTerm",
      "name": {
        "@language": "en",
        "@value": "TypeScript"
      }
    },
    {
      "@id": "lenka:data-catalog",
      "@type": "schema:DefinedTerm",
      "name": [
        {
          "@language": "en",
          "@value": "Data Catalogue"
        },
        {
          "@language": "no",
          "@value": "Data katalog"
        }
      ]
    }
  ]
}

Turtle

curl --header "Accept: text/turtle" https://www.lenka.no

@prefix lenka: <https://lenka.no#> .
@prefix schema: <https://schema.org/> .

lenka:apache-jena a schema:SoftwareApplication ;
    schema:description """
Apache Jena (or Jena in short) is a free and open source Java framework for building semantic web and Linked Data
applications. The framework is composed of different APIs interacting together to process RDF data.
"""@en ;
    schema:keywords lenka:java,
        lenka:library ;
    schema:name "Apache Jena"@en ;
    schema:url <https://jena.apache.org/> .

lenka:apache-jena-fuseki a schema:SoftwareApplication ;
    schema:description """
Apache Jena Fuseki is a SPARQL server. It can run as a standalone server, or embedded in an application.

Fuseki provides the SPARQL 1.1 protocols for query and update as well as the SPARQL Graph Store protocol.

Fuseki is integrated with TDB to provide a robust, transactional, persistent storage layer. Fuseki also incorporates
Jena text query."""@en ;
    schema:keywords lenka:java,
        lenka:server,
        lenka:sparql ;
    schema:name "Apache Jena Fuseki"@en ;
    schema:url <https://jena.apache.org/documentation/fuseki2/> .

lenka:awesome-semantic-web a schema:CreativeWork ;
    schema:description "A curated list of various semantic web and linked data resources."@en ;
    schema:keywords lenka:resource-collection ;
    schema:name "Awesome Semantic Web"@en ;
    schema:url <https://github.com/semantalytics/awesome-semantic-web> .

lenka:data-norge-no a schema:DataCatalog ;
    schema:description """
Data.norge.no provides a comprehensive overview of datasets, concepts, APIs, information models, services, and events
in the public sector, including data with legal restrictions such as confidentiality or personal information."""@en,
        """
Data.norge.no gir en omfattende oversikt over datasett, begreper, API-er, informasjonsmodeller, tjenester og hendelser
i offentlig sektor, inkludert data med juridiske begrensninger som taushetsplikt eller personopplysninger."""@no ;
    schema:keywords lenka:data-catalog ;
    schema:name "data.norge.no"@en ;
    schema:url <https://data.norge.no/> .

lenka:data-stortinget-no a schema:DataCatalog ;
    schema:description """
The data service of the Norwegian parliament, Stortinget, which offer datasets that are used in the work of the
parliamentary organization."""@en,
        """
Stortingets datatjeneste tilbyr uttrekk fra databaser som benyttes i Stortingets parlamentariske saksbehandling."""@no ;
    schema:keywords lenka:data-catalog ;
    schema:name "Stortinget | Åpne data"@no ;
    schema:url <https://data.stortinget.no/> .

lenka:dot-net-rdf a schema:SoftwareApplication ;
    schema:description """
dotNetRDF is...

- A complete library for parsing, managing, querying and writing RDF.
- A common .NET API for working with RDF triple stores such as AllegroGraph, Jena, Stardog and Virtuoso.
- A suite of command-line and GUI tools for working with RDF under Windows
- Free (as in beer) and Open Source (as in freedom) under a permissive MIT license."""@en ;
    schema:keywords lenka:dotnet,
        lenka:library ;
    schema:name "dotNetRDF"@en ;
    schema:url <https://dotnetrdf.org/> .

lenka:eclipse-rdf4j a schema:SoftwareApplication ;
    schema:description """
Eclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing,
scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected
to all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that
leverage the power of linked data and Semantic Web."""@en ;
    schema:keywords lenka:java,
        lenka:library,
        lenka:sparql ;
    schema:name "Eclipse RDF4J"@en ;
    schema:url <https://rdf4j.org/> .

lenka:graph a schema:Organization ;
    schema:description """
This meetup will aim to provide a wonderful community around graph databases in general, and Neo4j specifically. We
want to provide a forum for the exchange of ideas, networking, sharing of best practices, and technical+business tips
that will help the adoption of graph databases in all kinds of organisations - small and large, corporate or government,
for profit and academic."""@en ;
    schema:keywords lenka:meetup,
        lenka:neo4j,
        lenka:oslo ;
    schema:name "Graph Databases - Oslo"@en ;
    schema:url <https://www.meetup.com/graphdb-oslo/> .

lenka:intro-to-linked-data a schema:Collection ;
    schema:hasPart lenka:ontola-rdf-brief-introduction,
        lenka:rdf-primer,
        lenka:rdfjs-guide-to-rdf,
        lenka:stardog-academy-getting-started,
        lenka:ted-timbl-linked-data .

lenka:knowledge-graph-oslo a schema:Organization ;
    schema:description """
A meetup group for anyone interested in Knowledge Graphs (KGs), data exchange, linked data, accessible semantics
of data, and moving from data to knowledge.

Topics of interest:

* W3C Stack (RDF, RDFS, SPARQL, OWL, SHACL), and surrounding tools and technologies
* Neo4j and other LPG implementations
* NLP, LLM, ML & GenAI related to KGs

If you have something you want to share with the community, please reach out and we can schedule an event! 🌟"""@en ;
    schema:keywords lenka:meetup,
        lenka:oslo ;
    schema:name "Knowledge Graph Oslo"@en ;
    schema:url <https://www.meetup.com/knowledge-graph-oslo/> .

lenka:ldo a schema:SoftwareApplication ;
    schema:description """
> Solid and RDF without the Complexity

Although it's still experimental, LDO is one of the best libraries in terms of developer experience when
working with front-end projects and Linked Data."""@en ;
    schema:keywords lenka:javascript,
        lenka:library,
        lenka:shex,
        lenka:typescript ;
    schema:name "Linked Data Objects (LDO)"@en ;
    schema:url <https://ldo.js.org/> .

lenka:lov a schema:CreativeWork ;
    schema:description """
LOV provides a choice of several hundreds of such vocabularies, based on quality requirements including URI stability
and availability on the Web, use of standard formats and publication best practices, quality metadata and documentation,
identifiable and trustable publication body, proper versioning policy."""@en ;
    schema:keywords lenka:vocabulary ;
    schema:name "Linked Open Vocabularies (LOV)"@en ;
    schema:url <https://lov.linkeddata.es/dataset/lov/> .

lenka:neosemantics a schema:SoftwareApplication ;
    schema:description """
neosemantics (n10s) is a plugin that enables the use of RDF and its associated vocabularies like (OWL, RDFS, SKOS and
others) in Neo4j.

You can use n10s to build integrations with RDF-generating / RDF-consuming components. You can also use it to validate
your graph against constraints expressed in SHACL or to run basic inferencing.
"""@en ;
    schema:keywords lenka:neo4j,
        lenka:server,
        lenka:shacl,
        lenka:sparql ;
    schema:name "neosemantics (n10s): Neo4j RDF & Semantics toolkit"@en ;
    schema:url <https://neo4j.com/labs/neosemantics/> .

lenka:oslo-data-science a schema:Organization ;
    schema:description """
This meetup is for people who are doing data science and machine learning. We focus on exploring data challenges both
from modelling and a data processing perspectives."""@en ;
    schema:keywords lenka:ai,
        lenka:meetup,
        lenka:oslo ;
    schema:name "Oslo Data Science Meetup"@en ;
    schema:url <https://www.meetup.com/oslo-data-science/> .

lenka:rdf-js-org a schema:CreativeWork ;
    schema:description "A list of all standards and drafts related to semantic knowledge graphs in JavaScript"@en,
        "En liste over alle standarder og bibliotek for arbeid med semantiske kunnskapsgrafer i JavaScript"@no ;
    schema:keywords lenka:javascript,
        lenka:resource-collection ;
    schema:name "RDF JavaScript standards and libraries"@en,
        "RDF standarder og biblioteker i JavaScript"@no ;
    schema:url <https://rdf.js.org/> .

lenka:rdfjs-dev a schema:CreativeWork ;
    schema:description """
A list og guides and material to help you figure out which library you want to make use of in your JavaScript or
TypeScript project."""@en,
        """
En liste med guider og hjelpemateriell for å finne hvilket bibliotek man ønsker å ta i bruk i sitt JavaScript eller
TypeScript prosjekt"""@no ;
    schema:keywords lenka:javascript,
        lenka:resource-collection,
        lenka:typescript ;
    schema:name "RDF + JS = ❤️"@en ;
    schema:url <https://rdfjs.dev/> .

lenka:rdflib-javascript a schema:SoftwareApplication ;
    schema:description """
Javascript RDF library for browsers and Node.js.

- Reads and writes RDF/XML, Turtle and N3; Reads RDFa and JSON-LD
- Read/Write Linked Data client, using WebDav or SPARQL/Update
- Real-Time Collaborative editing with web sockets and PATCHes
- Local API for querying a store
- Compatible with RDFJS task force spec
- SPARQL queries (not full SPARQL - just graph match and optional)
- Smushing of nodes from owl:sameAs, and owl:{f,inverseF}unctionProperty
- Tracks provenance of triples keeps metadata (in RDF) from HTTP accesses
"""@en ;
    schema:keywords lenka:javascript,
        lenka:library,
        lenka:sparql ;
    schema:name "rdflib.js"@en ;
    schema:url <https://github.com/linkeddata/rdflib.js/> .

lenka:rdflib-python a schema:SoftwareApplication ;
    schema:description """
RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including:

- parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig, JSON-LD and even HexTuples
- a Graph interface which can be backed by any one of a number of Store implementations
- Store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints
  - additional Stores can be supplied via plugins
- a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements
- SPARQL function extension mechanisms

Many 3rd party packages support additional Stores, parsers etc."""@en ;
    schema:keywords lenka:library,
        lenka:python ;
    schema:name "RDFLib"@en ;
    schema:url <https://rdflib.dev/> .

lenka:rdfox a schema:SoftwareApplication ;
    schema:description "The world's most performant knowledge graph and knowledge based AI engine."@en ;
    schema:keywords lenka:c,
        lenka:cpp,
        lenka:java,
        lenka:server,
        lenka:sparql ;
    schema:name "RDFox"@en ;
    schema:url <https://www.oxfordsemantic.tech/rdfox> .

lenka:schema-org a schema:CreativeWork ;
    schema:description """
Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for
structured data on the Internet."""@en ;
    schema:keywords lenka:vocabulary ;
    schema:name "Schema.org️"@en ;
    schema:url schema: .

lenka:uio-in3060 a schema:Course ;
    schema:description """
After taking this course you'll:

- have an overview of basic standards (RDF, RDFS, OWL, SPARQL) in semantic technologies
- have a good understanding of the theoretical foundation for such technologies, both in terms of semantics and
syntactic reasoning
- know how to use libraries to use the technology in their own applications
- know about ontologies: what they are, how to make them, what to use them for
- have an overview of existing applications
- be able to use semantic technologies to solve issues in web development, data integration and data transfer
"""@en ;
    schema:keywords lenka:oslo,
        lenka:uio ;
    schema:name "IN3060 – Semantic Technologies"@en ;
    schema:url <https://www.uio.no/studier/emner/matnat/ifi/IN3060/index-eng.html> .

lenka:w3c-specifications a schema:CreativeWork ;
    schema:description "A list of all W3C standards and drafts related to semantic knowledge graphs"@en,
        "En liste over alle W3C standarder og arbeid pågående for semantiske kunnskapsgrafer"@no ;
    schema:keywords lenka:resource-collection,
        lenka:specification ;
    schema:name "W3C standards and drafts on RDF"@en,
        "W3C RDF standarder og pågående arbeid"@no ;
    schema:url <https://www.w3.org/TR/?tags[0]=data> .

lenka:ai a schema:DefinedTerm ;
    schema:name "AI"@en .

lenka:c a schema:DefinedTerm ;
    schema:name "C"@en .

lenka:cpp a schema:DefinedTerm ;
    schema:name "C++"@en .

lenka:dotnet a schema:DefinedTerm ;
    schema:name ".NET"@en .

lenka:ontola-rdf-brief-introduction a schema:Article ;
    schema:description """A very good read that introduces the most important concepts in Linked Data, with
       illustrations and easy to understand examples."""@en ;
    schema:name "A brief introduction to linked data"@en ;
    schema:url <https://ontola.io/blog/what-is-linked-data> .

lenka:python a schema:DefinedTerm ;
    schema:name "Python"@en .

lenka:rdf-primer a schema:Article ;
    schema:description """If you want a more comprehensive introduction to Linked Data, the classic "RDF Primer" is your best bet.
        It's over 20 years old, but is still relevant for foundational understanding of Linked Data."""@en ;
    schema:name "RDF Primer"@en ;
    schema:url <https://www.w3.org/TR/rdf-primer/> .

lenka:rdfjs-guide-to-rdf a schema:Article ;
    schema:description """This is an article I wrote for rdfjs.dev, a website I built for developers who want to
       combine Linked Data and front-end technologies. Even if you aren't into JavaScript or the like, I think you'll get
       something out of this text."""@en ;
    schema:name "Guide to RDF"@en ;
    schema:url <https://rdfjs.dev/rdf> .

lenka:shacl a schema:DefinedTerm ;
    schema:name "SHACL"@en .

lenka:shex a schema:DefinedTerm ;
    schema:name "ShEx"@en .

lenka:specification a schema:DefinedTerm ;
    schema:name "Specification"@en,
        "Standard"@no .

lenka:stardog-academy-getting-started a schema:VideoObject ;
    schema:description "If you prefer video this ~30 min presentation by Stardog Academy is worth a watch."@en ;
    schema:name "Getting Started with RDF & SPARQL"@en ;
    schema:url <https://www.youtube.com/watch?v=bDxclRhDb-o> .

lenka:ted-timbl-linked-data a schema:VideoObject ;
    schema:description """A great presentation by Sir Tim Berners-Lee's on TED 2009. The video might be old, but Tim
        has been and is an important figure in the development of Linked Data, and his vision holds to this day."""@en ;
    schema:name "Tim Berners-Lee: The next Web of open, linked data"@en ;
    schema:url <https://www.youtube.com/watch?v=OM6XIICm_qo> .

lenka:uio a schema:DefinedTerm ;
    schema:name "University of Oslo"@en,
        "Universitetet i Oslo"@no .

lenka:data-catalog a schema:DefinedTerm ;
    schema:name "Data Catalogue"@en,
        "Data katalog"@no .

lenka:neo4j a schema:DefinedTerm ;
    schema:name "Neo4j"@en .

lenka:typescript a schema:DefinedTerm ;
    schema:name "TypeScript"@en .

lenka:vocabulary a schema:DefinedTerm ;
    schema:name "Vocabulary"@en,
        "Vokabular"@no .

lenka:meetup a schema:DefinedTerm ;
    schema:name "Meetup"@en .

lenka:server a schema:DefinedTerm ;
    schema:name "Server"@en .

lenka:java a schema:DefinedTerm ;
    schema:name "Java"@en .

lenka:javascript a schema:DefinedTerm ;
    schema:name "JavaScript"@en .

lenka:oslo a schema:DefinedTerm ;
    schema:name "Oslo"@en,
        "Oslo"@no .

lenka:resource-collection a schema:DefinedTerm ;
    schema:name "Resource Collection"@en,
        "Samling av ressurser"@no .

lenka:sparql a schema:DefinedTerm ;
    schema:name "SPARQL"@en .

lenka:library a schema:DefinedTerm ;
    schema:name "Library"@en,
        "Bibliotek"@no .

RDF/XML

curl --header "Accept: application/rdf+xml" https://www.lenka.no

<?xml version="1.0" encoding="utf-8"?>
<rdf:RDF
   xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
   xmlns:schema="https://schema.org/"
>
  <rdf:Description rdf:about="https://lenka.no#rdfox">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">RDFox</schema:name>
    <schema:url rdf:resource="https://www.oxfordsemantic.tech/rdfox"/>
    <schema:description xml:lang="en">The world's most performant knowledge graph and knowledge based AI engine.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#server"/>
    <schema:keywords rdf:resource="https://lenka.no#c"/>
    <schema:keywords rdf:resource="https://lenka.no#cpp"/>
    <schema:keywords rdf:resource="https://lenka.no#java"/>
    <schema:keywords rdf:resource="https://lenka.no#sparql"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#resource-collection">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Resource Collection</schema:name>
    <schema:name xml:lang="no">Samling av ressurser</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#rdflib-javascript">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">rdflib.js</schema:name>
    <schema:url rdf:resource="https://github.com/linkeddata/rdflib.js/"/>
    <schema:description xml:lang="en">
Javascript RDF library for browsers and Node.js.

- Reads and writes RDF/XML, Turtle and N3; Reads RDFa and JSON-LD
- Read/Write Linked Data client, using WebDav or SPARQL/Update
- Real-Time Collaborative editing with web sockets and PATCHes
- Local API for querying a store
- Compatible with RDFJS task force spec
- SPARQL queries (not full SPARQL - just graph match and optional)
- Smushing of nodes from owl:sameAs, and owl:{f,inverseF}unctionProperty
- Tracks provenance of triples keeps metadata (in RDF) from HTTP accesses
</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#library"/>
    <schema:keywords rdf:resource="https://lenka.no#javascript"/>
    <schema:keywords rdf:resource="https://lenka.no#sparql"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#apache-jena-fuseki">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">Apache Jena Fuseki</schema:name>
    <schema:url rdf:resource="https://jena.apache.org/documentation/fuseki2/"/>
    <schema:description xml:lang="en">
Apache Jena Fuseki is a SPARQL server. It can run as a standalone server, or embedded in an application.

Fuseki provides the SPARQL 1.1 protocols for query and update as well as the SPARQL Graph Store protocol.

Fuseki is integrated with TDB to provide a robust, transactional, persistent storage layer. Fuseki also incorporates
Jena text query.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#server"/>
    <schema:keywords rdf:resource="https://lenka.no#java"/>
    <schema:keywords rdf:resource="https://lenka.no#sparql"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#neosemantics">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">neosemantics (n10s): Neo4j RDF &amp; Semantics toolkit</schema:name>
    <schema:url rdf:resource="https://neo4j.com/labs/neosemantics/"/>
    <schema:description xml:lang="en">
neosemantics (n10s) is a plugin that enables the use of RDF and its associated vocabularies like (OWL, RDFS, SKOS and
others) in Neo4j.

You can use n10s to build integrations with RDF-generating / RDF-consuming components. You can also use it to validate
your graph against constraints expressed in SHACL or to run basic inferencing.
</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#server"/>
    <schema:keywords rdf:resource="https://lenka.no#neo4j"/>
    <schema:keywords rdf:resource="https://lenka.no#shacl"/>
    <schema:keywords rdf:resource="https://lenka.no#sparql"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#schema-org">
    <rdf:type rdf:resource="https://schema.org/CreativeWork"/>
    <schema:name xml:lang="en">Schema.org️</schema:name>
    <schema:url rdf:resource="https://schema.org/"/>
    <schema:description xml:lang="en">
Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for
structured data on the Internet.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#vocabulary"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#stardog-academy-getting-started">
    <rdf:type rdf:resource="https://schema.org/VideoObject"/>
    <schema:name xml:lang="en">Getting Started with RDF &amp; SPARQL</schema:name>
    <schema:url rdf:resource="https://www.youtube.com/watch?v=bDxclRhDb-o"/>
    <schema:description xml:lang="en">If you prefer video this ~30 min presentation by Stardog Academy is worth a watch.</schema:description>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#w3c-specifications">
    <rdf:type rdf:resource="https://schema.org/CreativeWork"/>
    <schema:name xml:lang="no">W3C RDF standarder og pågående arbeid</schema:name>
    <schema:name xml:lang="en">W3C standards and drafts on RDF</schema:name>
    <schema:url rdf:resource="https://www.w3.org/TR/?tags[0]=data"/>
    <schema:description xml:lang="no">En liste over alle W3C standarder og arbeid pågående for semantiske kunnskapsgrafer</schema:description>
    <schema:description xml:lang="en">A list of all W3C standards and drafts related to semantic knowledge graphs</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#specification"/>
    <schema:keywords rdf:resource="https://lenka.no#resource-collection"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#vocabulary">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Vocabulary</schema:name>
    <schema:name xml:lang="no">Vokabular</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#rdfjs-dev">
    <rdf:type rdf:resource="https://schema.org/CreativeWork"/>
    <schema:name xml:lang="en">RDF + JS = ❤️</schema:name>
    <schema:url rdf:resource="https://rdfjs.dev/"/>
    <schema:description xml:lang="no">
En liste med guider og hjelpemateriell for å finne hvilket bibliotek man ønsker å ta i bruk i sitt JavaScript eller
TypeScript prosjekt</schema:description>
    <schema:description xml:lang="en">
A list og guides and material to help you figure out which library you want to make use of in your JavaScript or
TypeScript project.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#resource-collection"/>
    <schema:keywords rdf:resource="https://lenka.no#javascript"/>
    <schema:keywords rdf:resource="https://lenka.no#typescript"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#rdfjs-guide-to-rdf">
    <rdf:type rdf:resource="https://schema.org/Article"/>
    <schema:name xml:lang="en">Guide to RDF</schema:name>
    <schema:url rdf:resource="https://rdfjs.dev/rdf"/>
    <schema:description xml:lang="en">This is an article I wrote for rdfjs.dev, a website I built for developers who want to
       combine Linked Data and front-end technologies. Even if you aren't into JavaScript or the like, I think you'll get
       something out of this text.</schema:description>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#rdf-js-org">
    <rdf:type rdf:resource="https://schema.org/CreativeWork"/>
    <schema:name xml:lang="no">RDF standarder og biblioteker i JavaScript</schema:name>
    <schema:name xml:lang="en">RDF JavaScript standards and libraries</schema:name>
    <schema:url rdf:resource="https://rdf.js.org/"/>
    <schema:description xml:lang="no">En liste over alle standarder og bibliotek for arbeid med semantiske kunnskapsgrafer i JavaScript</schema:description>
    <schema:description xml:lang="en">A list of all standards and drafts related to semantic knowledge graphs in JavaScript</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#resource-collection"/>
    <schema:keywords rdf:resource="https://lenka.no#javascript"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#neo4j">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Neo4j</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#data-norge-no">
    <rdf:type rdf:resource="https://schema.org/DataCatalog"/>
    <schema:name xml:lang="en">data.norge.no</schema:name>
    <schema:url rdf:resource="https://data.norge.no/"/>
    <schema:description xml:lang="no">
Data.norge.no gir en omfattende oversikt over datasett, begreper, API-er, informasjonsmodeller, tjenester og hendelser
i offentlig sektor, inkludert data med juridiske begrensninger som taushetsplikt eller personopplysninger.</schema:description>
    <schema:description xml:lang="en">
Data.norge.no provides a comprehensive overview of datasets, concepts, APIs, information models, services, and events
in the public sector, including data with legal restrictions such as confidentiality or personal information.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#data-catalog"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#ontola-rdf-brief-introduction">
    <rdf:type rdf:resource="https://schema.org/Article"/>
    <schema:name xml:lang="en">A brief introduction to linked data</schema:name>
    <schema:url rdf:resource="https://ontola.io/blog/what-is-linked-data"/>
    <schema:description xml:lang="en">A very good read that introduces the most important concepts in Linked Data, with
       illustrations and easy to understand examples.</schema:description>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#eclipse-rdf4j">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">Eclipse RDF4J</schema:name>
    <schema:url rdf:resource="https://rdf4j.org/"/>
    <schema:description xml:lang="en">
Eclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing,
scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected
to all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that
leverage the power of linked data and Semantic Web.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#library"/>
    <schema:keywords rdf:resource="https://lenka.no#java"/>
    <schema:keywords rdf:resource="https://lenka.no#sparql"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#uio">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">University of Oslo</schema:name>
    <schema:name xml:lang="no">Universitetet i Oslo</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#ldo">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">Linked Data Objects (LDO)</schema:name>
    <schema:url rdf:resource="https://ldo.js.org/"/>
    <schema:description xml:lang="en">
&gt; Solid and RDF without the Complexity

Although it's still experimental, LDO is one of the best libraries in terms of developer experience when
working with front-end projects and Linked Data.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#library"/>
    <schema:keywords rdf:resource="https://lenka.no#javascript"/>
    <schema:keywords rdf:resource="https://lenka.no#typescript"/>
    <schema:keywords rdf:resource="https://lenka.no#shex"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#dot-net-rdf">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">dotNetRDF</schema:name>
    <schema:url rdf:resource="https://dotnetrdf.org/"/>
    <schema:description xml:lang="en">
dotNetRDF is...

- A complete library for parsing, managing, querying and writing RDF.
- A common .NET API for working with RDF triple stores such as AllegroGraph, Jena, Stardog and Virtuoso.
- A suite of command-line and GUI tools for working with RDF under Windows
- Free (as in beer) and Open Source (as in freedom) under a permissive MIT license.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#library"/>
    <schema:keywords rdf:resource="https://lenka.no#dotnet"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#rdf-primer">
    <rdf:type rdf:resource="https://schema.org/Article"/>
    <schema:name xml:lang="en">RDF Primer</schema:name>
    <schema:url rdf:resource="https://www.w3.org/TR/rdf-primer/"/>
    <schema:description xml:lang="en">If you want a more comprehensive introduction to Linked Data, the classic "RDF Primer" is your best bet.
        It's over 20 years old, but is still relevant for foundational understanding of Linked Data.</schema:description>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#uio-in3060">
    <rdf:type rdf:resource="https://schema.org/Course"/>
    <schema:name xml:lang="en">IN3060 – Semantic Technologies</schema:name>
    <schema:url rdf:resource="https://www.uio.no/studier/emner/matnat/ifi/IN3060/index-eng.html"/>
    <schema:description xml:lang="en">
After taking this course you'll:

- have an overview of basic standards (RDF, RDFS, OWL, SPARQL) in semantic technologies
- have a good understanding of the theoretical foundation for such technologies, both in terms of semantics and
syntactic reasoning
- know how to use libraries to use the technology in their own applications
- know about ontologies: what they are, how to make them, what to use them for
- have an overview of existing applications
- be able to use semantic technologies to solve issues in web development, data integration and data transfer
</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#oslo"/>
    <schema:keywords rdf:resource="https://lenka.no#uio"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#awesome-semantic-web">
    <rdf:type rdf:resource="https://schema.org/CreativeWork"/>
    <schema:name xml:lang="en">Awesome Semantic Web</schema:name>
    <schema:url rdf:resource="https://github.com/semantalytics/awesome-semantic-web"/>
    <schema:description xml:lang="en">A curated list of various semantic web and linked data resources.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#resource-collection"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#c">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">C</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#server">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Server</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#meetup">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Meetup</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#oslo-data-science">
    <rdf:type rdf:resource="https://schema.org/Organization"/>
    <schema:name xml:lang="en">Oslo Data Science Meetup</schema:name>
    <schema:url rdf:resource="https://www.meetup.com/oslo-data-science/"/>
    <schema:description xml:lang="en">
This meetup is for people who are doing data science and machine learning. We focus on exploring data challenges both
from modelling and a data processing perspectives.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#ai"/>
    <schema:keywords rdf:resource="https://lenka.no#meetup"/>
    <schema:keywords rdf:resource="https://lenka.no#oslo"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#data-stortinget-no">
    <rdf:type rdf:resource="https://schema.org/DataCatalog"/>
    <schema:name xml:lang="no">Stortinget | Åpne data</schema:name>
    <schema:url rdf:resource="https://data.stortinget.no/"/>
    <schema:description xml:lang="no">
Stortingets datatjeneste tilbyr uttrekk fra databaser som benyttes i Stortingets parlamentariske saksbehandling.</schema:description>
    <schema:description xml:lang="en">
The data service of the Norwegian parliament, Stortinget, which offer datasets that are used in the work of the
parliamentary organization.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#data-catalog"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#library">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Library</schema:name>
    <schema:name xml:lang="no">Bibliotek</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#specification">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Specification</schema:name>
    <schema:name xml:lang="no">Standard</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#data-catalog">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Data Catalogue</schema:name>
    <schema:name xml:lang="no">Data katalog</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#apache-jena">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">Apache Jena</schema:name>
    <schema:url rdf:resource="https://jena.apache.org/"/>
    <schema:description xml:lang="en">
Apache Jena (or Jena in short) is a free and open source Java framework for building semantic web and Linked Data
applications. The framework is composed of different APIs interacting together to process RDF data.
</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#library"/>
    <schema:keywords rdf:resource="https://lenka.no#java"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#graph">
    <rdf:type rdf:resource="https://schema.org/Organization"/>
    <schema:name xml:lang="en">Graph Databases - Oslo</schema:name>
    <schema:url rdf:resource="https://www.meetup.com/graphdb-oslo/"/>
    <schema:description xml:lang="en">
This meetup will aim to provide a wonderful community around graph databases in general, and Neo4j specifically. We
want to provide a forum for the exchange of ideas, networking, sharing of best practices, and technical+business tips
that will help the adoption of graph databases in all kinds of organisations - small and large, corporate or government,
for profit and academic.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#neo4j"/>
    <schema:keywords rdf:resource="https://lenka.no#meetup"/>
    <schema:keywords rdf:resource="https://lenka.no#oslo"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#intro-to-linked-data">
    <rdf:type rdf:resource="https://schema.org/Collection"/>
    <schema:hasPart rdf:resource="https://lenka.no#ted-timbl-linked-data"/>
    <schema:hasPart rdf:resource="https://lenka.no#ontola-rdf-brief-introduction"/>
    <schema:hasPart rdf:resource="https://lenka.no#rdfjs-guide-to-rdf"/>
    <schema:hasPart rdf:resource="https://lenka.no#stardog-academy-getting-started"/>
    <schema:hasPart rdf:resource="https://lenka.no#rdf-primer"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#python">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">Python</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#rdflib-python">
    <rdf:type rdf:resource="https://schema.org/SoftwareApplication"/>
    <schema:name xml:lang="en">RDFLib</schema:name>
    <schema:url rdf:resource="https://rdflib.dev/"/>
    <schema:description xml:lang="en">
RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including:

- parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig, JSON-LD and even HexTuples
- a Graph interface which can be backed by any one of a number of Store implementations
- Store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints
  - additional Stores can be supplied via plugins
- a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements
- SPARQL function extension mechanisms

Many 3rd party packages support additional Stores, parsers etc.</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#library"/>
    <schema:keywords rdf:resource="https://lenka.no#python"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#cpp">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">C++</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#shacl">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
    <schema:name xml:lang="en">SHACL</schema:name>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#knowledge-graph-oslo">
    <rdf:type rdf:resource="https://schema.org/Organization"/>
    <schema:name xml:lang="en">Knowledge Graph Oslo</schema:name>
    <schema:url rdf:resource="https://www.meetup.com/knowledge-graph-oslo/"/>
    <schema:description xml:lang="en">
A meetup group for anyone interested in Knowledge Graphs (KGs), data exchange, linked data, accessible semantics
of data, and moving from data to knowledge.

Topics of interest:

* W3C Stack (RDF, RDFS, SPARQL, OWL, SHACL), and surrounding tools and technologies
* Neo4j and other LPG implementations
* NLP, LLM, ML &amp; GenAI related to KGs

If you have something you want to share with the community, please reach out and we can schedule an event! 🌟</schema:description>
    <schema:keywords rdf:resource="https://lenka.no#meetup"/>
    <schema:keywords rdf:resource="https://lenka.no#oslo"/>
  </rdf:Description>
  <rdf:Description rdf:about="https://lenka.no#java">
    <rdf:type rdf:resource="https://schema.org/DefinedTerm"/>
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    <schema:name xml:lang="en">Linked Open Vocabularies (LOV)</schema:name>
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LOV provides a choice of several hundreds of such vocabularies, based on quality requirements including URI stability
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identifiable and trustable publication body, proper versioning policy.</schema:description>
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    <schema:name xml:lang="no">Oslo</schema:name>
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  <rdf:Description rdf:about="https://lenka.no#ai">
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  <rdf:Description rdf:about="https://lenka.no#javascript">
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    <schema:name xml:lang="en">JavaScript</schema:name>
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