@inbook{2abfa9da6482406cbd30853bd3a8d165,
title = "Ontology-based knowledge capture and sharing in enterprise organisations",
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{\textquoteright} everyday tasks, to achieve user acceptability and support the flexibility required by communities of practice with differing local sub-domains, tasks, and terminology.",
author = "Aba-Sah Dadzie and Victoria Uren and Fabio Ciravegna",
year = "2011",
month = may,
doi = "10.4018/978-1-60960-625-1.ch011",
language = "English",
isbn = "978-1-6096-0625-1",
series = "Premier reference source",
publisher = "IGI Global",
pages = "200--225",
editor = "{ Wong}, Wilson and Wei Liu and Mohammed Bennamoun",
booktitle = "Ontology learning and knowledge discovery using the Web",
address = "United States",
}