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Ontology development strategies in industrial contexts
Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-6671-6157
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, Jönköping International Business School, JIBS, Informatics. Jönköping University, Jönköping International Business School, JIBS, Business Administration.ORCID iD: 0000-0002-5881-0669
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.ORCID iD: 0000-0002-7431-8412
2019 (English)In: Business Information Systems Workshops. BIS 2018. / [ed] Abramowicz W., Paschke A., Cham: Springer, 2019, Vol. 339, p. 156-167Conference paper, Published paper (Refereed)
Abstract [en]

Knowledge-based systems are used extensively to support functioning of enterprises. Such systems need to reflect the aligned business-IT view and create shared understanding of the domain. Ontologies are used as part of many knowledge-bases systems. The industrial context affects the process of ontology engineering in terms of business requirements and technical constraints. This paper presents a study of four industrial cases that included ontology development. The study resulted in identification of seven factors that were used to compare the industrial cases. The most influential factors were found to be reuse of ontologies/models, stakeholder groups involved, and level of applicability of ontology. Finally, four recommendation were formulated for projects intended to create shared understanding in an enterprise.

Place, publisher, year, edition, pages
Cham: Springer, 2019. Vol. 339, p. 156-167
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348
Keywords [en]
Business and it alignment, Industrial development context, Knowledge management, Ontology engineering, Information use, Knowledge based systems, Business and it alignments, Business requirement, Industrial development, Influential factors, Ontology development, Shared understanding, Technical constraints, Ontology
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-43205DOI: 10.1007/978-3-030-04849-5_14Scopus ID: 2-s2.0-85061575353ISBN: 9783030048488 (electronic)OAI: oai:DiVA.org:hj-43205DiVA, id: diva2:1292213
Conference
21st International Conference on Business Information Systems, BIS 2018, Berlin, Germany, in July 2018
Available from: 2019-02-27 Created: 2019-02-27 Last updated: 2019-08-21Bibliographically approved

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Tarasov, VladimirSeigerroth, UlfSandkuhl, Kurt

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