Physical SciencesComputer ScienceArtificial Intelligence

Semantic Web and Ontologies

The Semantic Web is an effort to make information on the internet machine-readable not just in format but in meaning, so that software can reason across data from different sources the way a human analyst might. At its core, this depends on ontologies—formal specifications of concepts and the relationships between them—expressed in standards like RDF and OWL, which allow data published by one organization to be meaningfully linked to data published by another. Researchers in this area work on problems ranging from how to automatically align ontologies that describe the same domain in incompatible ways, to how query languages like SPARQL can be extended to handle uncertainty or temporal change in large knowledge graphs. A central open challenge is scaling these principled, logic-based representations to the messy, ambiguous, and constantly evolving character of real-world knowledge without sacrificing the precision that makes them useful.

Works
172,961
Total citations
1,503,099
Keywords
Semantic WebOntologyLinked DataRDFOWLSchema Matching

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