Linked Data

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Linked Data

Linked data is a method of publishing structured data so that it can be easily interlinked. See legal data for more information.

We create linked data following simple steps:

  • Using of URIs to identify all resources (conceptual notions)
  • All the identifiers can be resolved (“dereferenced”) by people and computers
  • Supporting public W3C standards such as RDF and SPARQL.
  • Including links to other related things (using their URIs), when we publish data

Data Conventions

We use several linked data generation conventions, such as:

  • Use resolvable URIs for the data sources with no RDF distribution
  • Generate stable new URIs based on unique labels, which describe the resources

Many additional connections between the resources must be made, before it becomes truly “linked” data.

Mapping

Examples of Linked Data Examples:
(Note: they are not real.)

Instance mappings

Dataset Linked Data Mapping Rule Semantic relationship
Legal Thesaurus Reference node skos:closeMatch
Legal Data Namespace Mapping skos:relatedMatch

Predicate mappings

Dataset Linked Data Mapping Rule Semantic relationship

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