• DocumentCode
    3154234
  • Title

    An architecture to support information sources discovery through semantic search

  • Author

    Santos, Veronica Dos ; Baião, Fernanda Araujo ; Tanaka, Astério

  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    276
  • Lastpage
    282
  • Abstract
    In most scenarios, different information sources coexist and their content overlap, thus requiring domain knowledge to discover, understand and integrate information. In general, information sources are not designed for integration and their descriptive metadata do not suffice to enable IIS to consistently and unambiguously discover which information sources contain the required data to be integrated. This paper proposes an architecture to discover information sources through the use of semantic search techniques on top of corporative metadata repositories. Our experiments using a prototype of the proposed architecture obtained positive results with regard to precision and recall.
  • Keywords
    data mining; information resources; information retrieval; information systems; meta data; ontologies (artificial intelligence); software architecture; IIS; content overlap; corporative metadata repositories; descriptive metadata; domain knowledge discovery; domain ontology; information integration system; information source discovery; integrate information discovery; semantic search; Computer architecture; Information systems; Keyword search; Ontologies; Prototypes; Semantics; Vocabulary; Descriptive Metadata; Domain Ontology; Metadata Repository; Semantic Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2011 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-0964-7
  • Electronic_ISBN
    978-1-4577-0965-4
  • Type

    conf

  • DOI
    10.1109/IRI.2011.6009559
  • Filename
    6009559