• DocumentCode
    3520750
  • Title

    A Framework Enabling Semantic Search in Health Service Ecosystems

  • Author

    Dong, Hai ; Hussain, Farookh Khadeer ; Chang, Elizabeth

  • Author_Institution
    Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2010
  • fDate
    1-3 Nov. 2010
  • Firstpage
    235
  • Lastpage
    242
  • Abstract
    The health service ecosystem is a sub domain of the service ecosystem, which is an ecological view of the health service domain. Due to the importance and the speciality of health services, service consumers have rigorous requirements regarding the efficiency of health service search engines. However, as most health service consumers do not have enough domain knowledge, their service queries are sometimes not able to denote their actual service requests. Moreover, we find that the existing health service search engines lack the ability to help the consumers to disambiguate their service queries, which may impede the efficiency of the search engines. In this paper, by means of semantic search technologies, we design a framework enabling user query disambiguation in the health service ecosystem. The framework embodies a health service ontology for domain knowledge-based user query disambiguation and an ECBR algorithm for accurate service retrieval. In order to evaluate the framework, we build a system prototype and perform a series of experiments on it. Conclusions from the evaluation are drawn in the paper.
  • Keywords
    knowledge based systems; medical information systems; ontologies (artificial intelligence); query processing; search engines; ECBR algorithm; health service ecosystem; health service ontology; health service search engine; knowledge-based user query disambiguation; semantic search; service consumer; service retrieval; Health Service Ecosystems; Semantic Search; Service Ecosystems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8125-5
  • Electronic_ISBN
    978-0-7695-4189-1
  • Type

    conf

  • DOI
    10.1109/SKG.2010.34
  • Filename
    5663514