Predicting Appropriate Semantic Web Terms from Words

The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. We describe a system that suggests appropriate RDF terms given semantically related English words and general domain and context information. We use the Swoogle Semantic Web search engine to provide RDF term and namespace statistics, the WorldNet lexical ontology to find semantically related words, and a na

• Type: Conference
• Year: 2008
• Where: AAAI
• Authors: Lushan Han, Tim Finin
• Keywords: AAAI 2008, Intelligent Agents, Ontologies, Rdf Term, Semantic Web