• DocumentCode
    473302
  • Title

    Ontology-Aware Search on XML-based Electronic Medical Records

  • Author

    Farfán, Fernando ; Hristidis, Vagelis ; Ranganathan, Anand ; Burke, Redmond P.

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL
  • fYear
    2008
  • fDate
    7-12 April 2008
  • Firstpage
    1525
  • Lastpage
    1527
  • Abstract
    As the use of electronic medical records (EMRs) becomes more widespread, so does the need for effective information discovery on them. Recently proposed EMR standards are XML-based, having as a key characteristic the frequent use of ontological references, i.e., ontological concept codes appear as XML elements and are used to associate portions of the EMR document with concepts defined in a domain ontology. In this paper we present the XOntoRank system which tackles the problem of ontology-aware keyword search on XML documents with a particular focus on EMR XML documents. Our running examples and experiments use the Health Level Seven (HL7) clinical document architecture (CDA) Release 2.0 standard of EMR representation and the systematized nomenclature of human and veterinary medicine (SNOMED) ontology, although the presented techniques and results are applicable to any EMR hierarchical format and any ontology that defines concepts and relationships.
  • Keywords
    XML; information retrieval; medical information systems; ontologies (artificial intelligence); Health Level Seven; XML document; XOntoRank system; clinical document architecture; electronic medical record; information discovery; ontology-aware keyword search; systematized nomenclature of human and veterinary medicine ontology; Code standards; Hospitals; Humans; Keyword search; Manufacturing; Ontologies; Pediatrics; Taxonomy; Tree graphs; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-1836-7
  • Electronic_ISBN
    978-1-4244-1837-4
  • Type

    conf

  • DOI
    10.1109/ICDE.2008.4497611
  • Filename
    4497611