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
Top papers in Semantic Web and Ontologies
Ordered by total citation count.
- Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support↗ 52,478OA
- A translation approach to portable ontology specifications↗ 12,583
- I.—COMPUTING MACHINERY AND INTELLIGENCE↗ 9,807
- Self-Organization and Associative Memory↗ 8,778
- The Semantic Web↗ 8,480
- SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules↗ 7,711
- Toward principles for the design of ontologies used for knowledge sharing?↗ 7,671
- Maintaining knowledge about temporal intervals↗ 7,561OA
- The Stanford CoreNLP Natural Language Processing Toolkit↗ 7,255OA
- The Description Logic Handbook↗ 6,214
- Archaeology of Knowledge↗ 5,963OA
- The Entity Relationship Model — Toward a Unified View of Data↗ 5,783
Active researchers
Top authors in this area, ranked by h-index.