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    Open ebusiness ontology usage: investigating community implementation of goodrelations

    172753_30018_PUB-CBS-EEB-MC-60033.pdf (748.9Kb)
    Access Status
    Open access
    Authors
    Ashraf, Jamshaid
    Cyganiak, R.
    O’Riain, S.
    Hadzic, Maja
    Date
    2011
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Ashraf, Jamshaid and Cyganiak, Richard and O’Riain, Sean and Hadzic, Maja. 2011. Open ebusiness ontology usage: investigating community implementation of goodrelations, in C. Bizer, T. Heath, T. Berners-Lee and M. Hausenblas (ed), WWW2011 Workshop on Linked Data on the Web (LDOW2011), Mar 29 2011. Hyderabad, India: CEUR Workshop Proceedings.
    Source Title
    Proceedings of the 20th international world wide web conference
    Source Conference
    20th International World Wide Web Conference
    Additional URLs
    http://ceur-ws.org/Vol-813/ldow2011-paper12.pdf
    ISSN
    1613-0073
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    Copyright © 2011 The Authors

    URI
    http://hdl.handle.net/20.500.11937/17702
    Collection
    • Curtin Research Publications
    Abstract

    The GoodRelations Ontology is experiencing the first stages of mainstream adoption, with its appeal to a range of enterprises as the eCommerce ontology of choice to promote its offerings and product catalogue. As adoption increases, so too does the need to critically review and analyze current implementation of the ontology to better assist future usage and uptake. To comprehensively understand the implementation approaches, usage patterns, instance data and model coverage, data was collected from 105 different web based sources that have published their business and product-related information using the GoodRelations Ontology. This paper analyses the ontology usage in terms of data instantiation, and conceptual coverage using a SPARQL queries to evaluate quality, usefulness and inference provisioning. Experimental results highlight that early publishers of structured eCommerce data benefit more due to structured data being more readily search engine indexable, but the lack of available product ontologies and product master datasheets is impeding the creation of a semantically interlinked eCommerce Web.

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