Ontology-based knowledge capture and sharing in enterprise organisations

Aba-Sah Dadzie, Victoria Uren, Fabio Ciravegna

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Despite years of effort in building organisational taxonomies, the potential of ontologies to support knowledge management in complex technical domains is under-exploited. The authors of this chapter present an approach to using rich domain ontologies to support sense-making tasks associated with resolving mechanical issues. Using Semantic Web technologies, the authors have built a framework and a suite of tools which support the whole semantic knowledge lifecycle. These are presented by describing the process of issue resolution for a simulated investigation concerning failure of bicycle brakes. Foci of the work have included ensuring that semantic tasks fit in with users’ everyday tasks, to achieve user acceptability and support the flexibility required by communities of practice with differing local sub-domains, tasks, and terminology.
Original languageEnglish
Title of host publicationOntology learning and knowledge discovery using the Web
Subtitle of host publicationchallenges and recent advances
EditorsWilson Wong, Wei Liu, Mohammed Bennamoun
PublisherIGI Global
Pages200-225
Number of pages26
ISBN (Electronic)978-1-60960-626-8
ISBN (Print)978-1-6096-0625-1
DOIs
Publication statusPublished - May 2011

Publication series

NamePremier reference source
PublisherIGI global

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  • Cite this

    Dadzie, A-S., Uren, V., & Ciravegna, F. (2011). Ontology-based knowledge capture and sharing in enterprise organisations. In W. Wong, W. Liu, & M. Bennamoun (Eds.), Ontology learning and knowledge discovery using the Web: challenges and recent advances (pp. 200-225). (Premier reference source). IGI Global. https://doi.org/10.4018/978-1-60960-625-1.ch011