Publication | Closed Access
Named graphs, provenance and trust
520
Citations
12
References
2005
Year
Unknown Venue
Web SemanticsNetwork ScienceGraph TheoryData ScienceEngineeringProvenance AnalysisSemantic Web ServiceSemantic TechnologyProvenance ManagementMany Rdf GraphsData PrivacyData IntegrationSemantic Web TechniqueSemantic WebSemanticsRdf StatementsData ManagementData Provenance
The Semantic Web comprises many RDF graphs identified by URIs, and trust in these graphs depends on their content, provenance information, and the user’s task. This paper extends RDF syntax and semantics to support Named Graphs. The authors extend RDF to Named Graphs, providing a formal framework that enables publishers to assert intent, sign graphs, and allows consumers to evaluate and trust specific graphs using task‑specific policies. The extension allows RDF to describe graphs, benefiting many Semantic Web applications, and provides a formal framework enabling publishers to assert intent, sign graphs, and allowing consumers to evaluate and trust specific graphs with task‑specific policies.
The Semantic Web consists of many RDF graphs nameable by URIs. This paper extends the syntax and semantics of RDF to cover such Named Graphs. This enables RDF statements that describe graphs, which is beneficial in many Semantic Web application areas. As a case study, we explore the application area of Semantic Web publishing: Named Graphs allow publishers to communicate assertional intent, and to sign their graphs; information consumers can evaluate specific graphs using task-specific trust policies, and act on information from those Named Graphs that they accept. Graphs are trusted depending on: their content; information about the graph; and the task the user is performing. The extension of RDF to Named Graphs provides a formally defined framework to be a foundation for the Semantic Web trust layer.
| Year | Citations | |
|---|---|---|
Page 1
Page 1