• DocumentCode
    2192266
  • Title

    Methodology for creating a sample subset of dynamic taxonomy to use in navigating medical text databases

  • Author

    Wollersheim, Dennis ; Rahayu, Wenny

  • Author_Institution
    Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    276
  • Lastpage
    284
  • Abstract
    The amount of text available in electronic form is increasing, especially since the rise of the Web. So too are the potential interconnections between concepts, given the advent of ontologies and other relationship based data sources. Text could be navigated using the structure from the ontologies, specifically, using dynamic taxonomies to navigate the is-a relationships. Dynamic taxonomies are rooted index structures that dynamically prune themselves in response to zoom requests. The use of dynamic taxonomies with existing ontologies, and in the medical field, is unexplored. This paper details the process of connecting index terms from a medical text database to a taxonomy extracted from an existing medical ontology.
  • Keywords
    information retrieval; knowledge engineering; medical computing; medical information systems; vocabulary; data sources; dynamic pruning; dynamic taxonomy; is-a relationships; medical text database; medical text database navigation; ontologies; rooted index structures; sample subset; zoom requests; Biomedical engineering; Classification tree analysis; Data engineering; Databases; Drugs; Hospitals; Navigation; Pathogens; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Engineering and Applications Symposium, 2002. Proceedings. International
  • ISSN
    1098-8068
  • Print_ISBN
    0-7695-1638-6
  • Type

    conf

  • DOI
    10.1109/IDEAS.2002.1029680
  • Filename
    1029680