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    A Framework Enabling Semantic Search in Health Service Ecosystems

    154175_154175.pdf (319.2Kb)
    Access Status
    Open access
    Authors
    Dong, Hai
    Hussain, Farookh Khadeer
    Chang, Elizabeth
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2010. A Framework Enabling Semantic Search in Health Service Ecosystems, in Zhuge, H. (ed), International Conference on Semantics, Knowledge and Grids 2010 (SKG 2010), Nov 1 2010, pp. 235-242. Ningbo, China: IEEE.
    Source Title
    Proceedings of the international conference on semantics, knowledge and grids 2010 (SKG 2010)
    Source Conference
    International Conference on Semantics, Knowledge and Grids 2010 (SKG 2010)
    DOI
    10.1109/SKG.2010.34
    ISBN
    9781424481255
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/30434
    Collection
    • Curtin Research Publications
    Abstract

    The health service ecosystem is a subdomain 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.

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