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Ontology-based Competence Model for Collaborative Design
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
2009 (English)In: Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications / [ed] Ned Kock, Hershey: Information Science Reference , 2009, 188-202 p.Chapter in book (Other academic)
Abstract [en]

Collaborative design in dispersed groups of engineers creates various kinds of challenges to technology, organization and social environment. This paper presents an approach to description and representation of the competences needed for a planned collaborative design project. The most important competence areas are identified starting from the nature of design work, problem solving in design teams, and working in distributed groups. The competence model is built structuring these areas according to three perspectives: general, cultural, and occupational competences. An ontological representation is proposed to implement the described model for collaborative design competence. Using an ontology language for representation of collaborative design competence models makes it possible to identify those individuals who are best suited for the collaboration by ontology matching. Furthermore, a software design team consisting of two persons was interviewed and competence profiles were created using the developed ontological representation. Modeling of the team members has confirmed that the proposed approach can be applied to modeling competences needed for collaborative design in engineering fields.

Place, publisher, year, edition, pages
Hershey: Information Science Reference , 2009. 188-202 p.
Series
Advances in E-Collaboration (AECOB) Book Series, ISSN 1935-2883 ; 3
Keyword [en]
Collaborative Design, Engineering Design, Competence, Competence Modeling, Competence Profile, Ontology, Information Demand
National Category
Computer Science Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-5226ISBN: 9781605661100 (print)OAI: oai:DiVA.org:hj-5226DiVA: diva2:36046
Available from: 2008-01-11 Created: 2008-01-11 Last updated: 2013-01-24Bibliographically approved

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Tarasov, VladimirSandkuhl, KurtLundqvist, Magnus
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CiteExportLink to record
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  • apa
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More styles
Language
  • de-DE
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