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    A context-aware semantic similarity model for ontology environments

    Access Status
    Fulltext not available
    Authors
    Dong, Hai
    Hussain, Farookh Khadeer
    Chang, Elizabeth
    Date
    2011
    Type
    Journal Article
    
    Metadata
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    Citation
    Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2011. A context-aware semantic similarity model for ontology environments. Concurrency and Computation: Practice and Experience. 23 (5): pp. 505-524.
    Source Title
    Concurrency and Computation: Practice and Experience
    DOI
    10.1002/cpe.1652
    ISSN
    15320626
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    URI
    http://hdl.handle.net/20.500.11937/32892
    Collection
    • Curtin Research Publications
    Abstract

    While many researchers have contributed to the field of semantic similarity models so far, we find that most of the models are designed for the semantic network environment. When applying the semantic similarity model within the semantic-rich ontology environment, two issues are observed: (1) most of the models ignore the context of ontology concepts and (2) most of the models ignore the context of relations. Therefore, in this paper, we present a solution for the two issues, including a novel ontology conversion process and a context-aware semantic similarity model, by considering the factors of both the context of concepts and relations, and the ontology structure. Furthermore, in order to evaluate this model, we compare its performance with that of several existing models' performance in a large-scale knowledge base, and the evaluation result preliminarily proves the technical advantage of our model in ontology environments. Conclusions and future works are described in the final section.

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