Ontology definition and construction, and epistemological adequacy for systems interoperability: a practitioner analysis.

Lumsden, Jim, Hall, Hazel and Cruickshank, Peter (2011) Ontology definition and construction, and epistemological adequacy for systems interoperability: a practitioner analysis. Journal of Information Science, 37 (3). pp. 246-253. ISSN 0165 5515

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Ontology development is considered to be a useful approach to the design and implementation of interoperable systems. This literature review and commentary examines the current state of knowledge in this field with particular reference to processes involved in assuring epistemological adequacy. It takes the perspective of the information systems practitioner keen to adopt a systematic approach to in-house ontology design, taking into consideration previously published work. The study arises from author involvement in an integration/interoperability project on systems that support Scottish Common Housing Registers in which, ultimately, ontological modelling was not deployed. Issues concerning the agreement of meaning, and the implications for the creation of interoperable systems, are discussed. The extent to which those theories, methods and frameworks provide practitioners with a usable set of tools is explored, and examples of practical applications of ontological modelling are noted. The findings from the review of the literature demonstrate a number of difficulties faced by information systems practitioners keen to develop and deploy domain ontologies. A major problem is deciding which broad approach to take: to rely on automatic ontology construction techniques, or to rely on key words and domain experts to develop ontologies.

Item Type: Article
Print ISSN: 0165 5515
Electronic ISSN: 1741-6485
Uncontrolled Keywords: Ontology; systems interoperability;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science > 004.2 Systems analysis, design & performance
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 4158
Depositing User: Mrs Lyn Gibson
Date Deposited: 07 Feb 2011 10:18
Last Modified: 30 Nov 2012 14:59

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