IEEE Intelligent Systems and their Applications · 1999 · 553 citations · 7 references
ComputingComputer ScienceInformation RetrievalKnowledge RepresentationNatural Language ProcessingInformation ExtractionKnowledge RetrievalOntology DesignOntology EngineeringRetrieval ModelsSemantic SearchExpressivenessMatchingOnline Product CatalogsOntologiesOntology-based Information RetrievalOntology-based RetrievalSemantic EquivalenceSemantic Retrieval
For online yellow pages and product catalogs, structured content representations coupled with linguistic ontologies can increase both recall and precision of content based retrieval. Our OntoSeek system adopts a language of limited expressiveness for content representation and uses a large ontology based on WordNet for content matching. WordNet is a linguistic database formed by synsets-terms grouped into semantic equivalence sets, each one assigned to a lexical category (noun, verb, adverb, adjective). Each synset represents a particular sense of an English word and is usually expressed as a unique combination of synonymous words.
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