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Appendix A: ePrOnto: OWL-Based Ontology for Research Information Management

Olszewska, Joanna Isabelle, Simpson, Ron and McCluskey, T.L. (2011) Appendix A: ePrOnto: OWL-Based Ontology for Research Information Management. In: JISC final Report: BRIM project Version: 1.0. JISC, pp. 24-31. (Unpublished)

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    Abstract

    Interoperability is the challenge of getting processes to share and exchange information
    effectively. Service orientation relates to creating self-contained, self-describing, accessible,
    and open, computer services. Both these challenges relate to the representation of the data
    being exchanged/manipulated. There are various existing sources of research information in
    the University, for example, ePrints – the publications repository. Research information is
    complex, structured data, and the future requirements of it are only partially known. If we
    commit to one encoding, or even one representation language, later it may turn out to be
    inadequate or obsolete. Current work [10] on these issues points to representing the data in
    an ontology.
    More specifically, an ontology is a notion defined by Gruber as an explicit specification of a
    conceptualization [8]. The term (from the Greek, ontos: of being and logia: study) is
    borrowed from Philosophy and it refers to the subject of existence. In Artificial Intelligence
    (AI), an ontology is constituted by a specific vocabulary used to describe a certain reality,
    plus a set of explicit assumptions regarding the intended meaning of the vocabulary [7].
    Thus, the ontology describes a formal specification of a certain domain: a shared
    understanding of a domain of interest as well as a formal and machine understandable
    model of this domain.
    In the e-business context [6], a mechanism to improve system usability, maintenance,
    efficiency and interoperability could reside in the formal description of the semantic of the
    document-based framework for business collaborations. The formal descriptions could be
    provided through the definition of an ontology that represents the implicit concepts and the
    relationships that underlie the business vocabulary.

    Item Type: Book Chapter
    Uncontrolled Keywords: Ontology; OWL; Protégé; Information Management; Knowledge Representation;
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Pedagogical Research Group
    School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    Related URLs:
    Depositing User: Joanna Olszewska
    Date Deposited: 25 Oct 2011 15:47
    Last Modified: 25 Oct 2011 15:47
    URI: http://eprints.hud.ac.uk/id/eprint/10866

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