• DocumentCode
    2273698
  • Title

    Enterprise search tasks in IVHM practice

  • Author

    Throop, David R.

  • Author_Institution
    Boeing Co., Houston, TX
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    Integrated vehicle health management tasks both manage large flows of data and access large stores of textual information. These tasks are special cases of the general integrated problem of data mining (usually nontextual data in databases) and enterprise search (search for textual information in proprietary document collections.) This paper reviews current approaches with particular attention to problems characteristic of IVHM searches. Emerging commercial off-the-shelf (COTS) software tools use taxonomies and ontologies to find documents which otherwise be missed, to narrow searches that return too many results, and to navigate through large search results. Ontologies are formal models of knowledge for particular domains. They structure information so it can be shared - across organizations and between software tools. We discuss sources of aerospace taxa and ontologies, security considerations, and some open issues in ontology representation
  • Keywords
    aerospace computing; aircraft maintenance; data mining; document handling; ontologies (artificial intelligence); query formulation; software tools; task analysis; data management; data mining; enterprise search tasks; integrated vehicle health management; knowledge formal models; ontology representation; proprietary document collections; software tools; textual information; Companies; Data mining; Databases; Internet; Navigation; Ontologies; Power engineering and energy; Software tools; Taxonomy; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2006 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-9545-X
  • Type

    conf

  • DOI
    10.1109/AERO.2006.1656111
  • Filename
    1656111