• DocumentCode
    892735
  • Title

    A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community

  • Author

    Velardi, Paola ; Cucchiarelli, Alessandro ; Petit, Michaël

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Roma La Sapienza
  • Volume
    19
  • Issue
    2
  • fYear
    2007
  • Firstpage
    180
  • Lastpage
    191
  • Abstract
    The need to extract and manage domain-specific taxonomies has become increasingly relevant in recent years. A taxonomy is a form of business intelligence used to integrate information, reduce semantic heterogeneity, describe emergent communities and interest groups, and facilitate communication between information systems. We present a semiautomated strategy to extract domain-specific taxonomies from Web documents and its application to model a network of excellence in the emerging research field of enterprise interoperability
  • Keywords
    Internet; information systems; knowledge acquisition; open systems; Web document; business intelligence; domain-specific taxonomy extraction; enterprise interoperability; information system; scientific Web community; taxonomy learning; Collaboration; Computer science; Data mining; Educational institutions; Indexing; Knowledge management; Learning systems; Ontologies; Taxonomy; Text analysis; Interoperability; Web text analysis; knowledge publishing; ontology design.;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2007.21
  • Filename
    4039282