• DocumentCode
    1521392
  • Title

    OntoSeek: content-based access to the Web

  • Author

    Guarino, Nicola ; Masolo, Claudio ; Vetere, Guido

  • Author_Institution
    Nat. Res. Council, CNR, Padova, Italy
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • Firstpage
    70
  • Lastpage
    80
  • Abstract
    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
  • Keywords
    content-based retrieval; information resources; knowledge representation languages; linguistics; text analysis; English word; OntoSeek; WordNet; content based Web access; content based retrieval; content matching; content representation language; large ontology; lexical category; linguistic database; linguistic ontologies; online yellow pages; product catalogs; semantic equivalence sets; structured content representations; synonymous words; synsets; unique combination; Business; Catalogs; Content based retrieval; Costs; Electronic commerce; Encoding; Information retrieval; Manufacturing; Taxonomy; Vocabulary;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems and their Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.769887
  • Filename
    769887