• DocumentCode
    1304237
  • Title

    Semantic Heterogeneity Issues on the Web

  • Author

    Gracia, Jorge ; Mena, Eduardo

  • Author_Institution
    Artificial Intell. Dept., Univ. Politec. de Madrid, Madrid, Spain
  • Volume
    16
  • Issue
    5
  • fYear
    2012
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    To operate effectively, the Semantic Web must be able to make explicit the semantics of Web resources via ontologies, which software agents use to automatically process these resources. The Web´s natural semantic heterogeneity presents problems, however - namely, redundancy and ambiguity. The authors´ ontology matching, clustering, and disambiguation techniques aim to bridge the gap between syntax and semantics for Semantic Web construction. Their approach discovers and represents the intended meaning of words in Web applications in a nonredundant way, while considering the context in which those words appear.
  • Keywords
    ontologies (artificial intelligence); pattern clustering; semantic Web; software agents; Semantic Web; Web applications; Web resources; ambiguity; clustering techniques; disambiguation techniques; natural semantic heterogeneity issue; ontologies; ontology matching; redundancy; software agents; Contect awareness; Information analysis; Ontologies; Semantic Web; Semantics; Semantic Web; disambiguation; ontology matching; semantic heterogeneity;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2012.116
  • Filename
    6319296