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.
|Title of host publication||Ontology learning and knowledge discovery using the Web|
|Subtitle of host publication||challenges and recent advances|
|Editors||Wilson Wong, Wei Liu, Mohammed Bennamoun|
|Number of pages||26|
|Publication status||Published - May 2011|
|Name||Premier reference source|
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