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    Ontological Support for the Use of Design Science Research Results

    Access Status
    Fulltext not available
    Authors
    Reiterer, E.
    Venable, John
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Reiterer, E. and Venable, J. 2016. Ontological Support for the Use of Design Science Research Results, in Parsons, J. et al. (ed), Breakthroughs and Emerging Insights from Ongoing Design Science Projects: Research-in-progress papers and poster presentations from the 11th International Conference on Design Science Research in Information Systems and Technology (DESRIST): Tackling Society's Grand Challenge with Design Science, May 23-25 2016, pp. 75-82. St. John, NL, Canada: University of Cork.
    Source Title
    Breakthroughs and emerging insights from ongoing design science projects: Research-in-progress papers and poster presentations from the 11th international conference on design science research in information systems and technology (DESRIST) 2016
    Source Conference
    11th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2016)
    Additional URLs
    https://cora.ucc.ie/
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/6124
    Collection
    • Curtin Research Publications
    Abstract

    In applied fields of research, Design Science Research (DSR) produces practical and theoretical knowledge in the form of descriptions of new rtefacts with utility for particular purpose(s). People, including researchers and practitioners, need to identify, access, comprehend, and synthesize DSR results. This paper addresses these issues by describing and demonstrating a design of a formal DSR ontology approach to represent the essential semantics of the DSR results presented in a DSR document. The proposed ontology (DSRDCO) extends the UMBEL reference ontology of over 35,000 concepts. DSRDCO can be used in the context of a digital library or of the semantic web and can support search and automatic summarisation of DSR publications. Ideally, a summary of DSR results would fulfil five Cs: comprehensive, concise, coherent, correct, and clear. Feasibility of this approach has been evaluated by demonstration, which will be followed by an expert evaluation.

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