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    A service concept recommendation system for enhancing the dependability of semantic service matchmakers in the service ecosystem environment

    155393_155393.pdf (469.0Kb)
    Access Status
    Open access
    Authors
    Dong, Hai
    Hussain, Farookh Khadeer
    Chang, Elizabeth
    Date
    2010
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2011. A service concept recommendation system for enhancing the dependability of semantic service matchmakers in the service ecosystem environment. Journal of Network and Computer Applications. 34 (2): pp. 619-631.
    Source Title
    Journal of Network and Computer Applications
    DOI
    10.1016/j.jnca.2010.11.010
    ISSN
    10848045
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    NOTICE: This is the author’s version of a work that was accepted for publication in Journal of Network and Computer Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Network and Computer Applications [34, 2, 2011] DOI 10.1016/j.jnca.2010.11.010

    URI
    http://hdl.handle.net/20.500.11937/12042
    Collection
    • Curtin Research Publications
    Abstract

    A Service Ecosystem is a biological view of the business and software environment, which is comprised of a Service Use Ecosystem and a Service Supply Ecosystem. Service matchmakers play an important role in ensuring the connectivity between the two ecosystems. Current matchmakers attempt to employ ontologies to disambiguate service consumers’ service queries by semantically classifying service entities and providing a series of human computer interactions to service consumers. However, the lack of relevant service domain knowledge and the wrong service queries could prevent the semantic service matchmakers from seeking the service concepts that can be used to correctly represent service requests. To resolve this issue, in this paper, we propose the framework of a service concept recommendation system, which is built upon a semantic similarity model.This system can be employed to seek the concepts used to correctly represent service consumers’ requests, when a semantic service matchmaker finds that the service concepts that are eventually retrieved cannot match the service requests. Whilst many similar semantic similarity models have been developed to date, most of them focus on distance-based measures for the semantic network environment and ignore content-based measures for the ontology environment. For the ontology environment in which concepts are defined with sufficient datatype properties, object properties, and restrictions etc., the content of concepts should be regarded as an important factor in concept similarity measures. Hence, we present a novel semantic similarity model for the service ontology environment. The technical details and evaluation details of the framework are discussed in this paper.

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