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    Discovering plain-text-described services based on ontology learning

    Access Status
    Fulltext not available
    Authors
    Dong, Hai
    Hussain, F.
    Bouguettaya, A.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Dong, H. and Hussain, F. and Bouguettaya, A. 2014. Discovering plain-text-described services based on ontology learning, pp. 673-681: Springer Verlag.
    Source Title
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISBN
    9783319126425
    School
    School of Accounting
    URI
    http://hdl.handle.net/20.500.11937/47897
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we present an approach to efficiently discover domain-specific services that are described by plain text over the Internet. Plain-text-described service advertisements account for the vast majority of service advertisements over the Internet, but current research rarely focuses on this area. To address this issue, we design a domain-ontology-based approach for automatic plain-text-described service discovery. This approach incorporates a plain-text-described service ontology for standard service description, a plaintext- described service discovery framework for domain-relevant service discovery and ontology learning, and a machine-learning-based model for ontologybased service functionality annotation. The experimental results show that this approach is able to efficiently discover more relevant plain-text-described services than other approaches.

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