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Linked Data

Apr 30, 2024, 2 min read

Linked Data

Group: 4 #group-4

Relations

  • Open Data: Linked Data is closely related to the Open Data movement, which promotes the sharing and reuse of data.
  • Knowledge Graphs: Linked Data can be used to create knowledge graphs, which represent relationships between entities and concepts.
  • Knowledge Graphs: Knowledge graphs are often built using Linked Data principles, which provide a way to publish and connect structured data on the web.
  • Ontology: Ontologies are used to represent and link data on the Web
  • Web of Data: The Web of Data refers to the interconnected network of Linked Data sources on the web.
  • Resource Description Framework (RDF): Linked Data is based on the Resource Description Framework (RDF), a standard model for representing data on the web.
  • Ontologies: Linked Data often uses ontologies to define the relationships and semantics of data.
  • Data Integration: Linked Data facilitates data integration by providing a common framework for representing and linking data from different sources.
  • Linked Data Fragments: Linked Data Fragments is a technique for efficiently querying and retrieving subsets of Linked Data.
  • Linked Data Principles: The Linked Data principles outline best practices for publishing and connecting data on the web.
  • Data Interoperability: Linked Data aims to improve data interoperability by providing a standardized way to represent and link data across different domains.
  • Triples: Linked Data represents information as triples (subject-predicate-object) in RDF format.
  • Uniform Resource Identifier (URI): Linked Data uses Uniform Resource Identifiers (URIs) to uniquely identify resources on the web.
  • SPARQL: SPARQL is a query language used to retrieve and manipulate data from Linked Data sources.
  • Semantic Interoperability: Linked Data principles and technologies support semantic interoperability by linking and integrating data across different sources.
  • Decentralized Data: Linked Data promotes a decentralized approach to data management, where data is distributed across multiple sources.
  • Linked Open Data: Linked Open Data is a subset of Linked Data that is openly available and can be freely used, reused, and redistributed.
  • Semantic Web: Linked Data is a key component of the Semantic Web, which aims to make data on the web more machine-readable and interoperable.

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