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Article type: Research Article
Authors: Ongenae, Femke; | Duysburgh, Pieter | Sulmon, Nicky | Verstraete, Mathijs | Bleumers, Lizzy | De Zutter, Saar | Verstichel, Stijn | Ackaert, Ann | Jacobs, An | De Turck, Filip
Affiliations: Department of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium. E-mails: {Femke.Ongenae, Stijn.Verstichel, Ann.Ackaert, Filip.DeTurck}@intec.ugent.be | Research Centre for Studies on Media, Information and Telecommunication (SMIT), Brussels University (VUB)-iMinds, Brussels, Belgium. E-mails: {Pieter.Duysburgh, LBleumer, An.Jacobs}@vub.ac.be | Centre for User Experience Research (CUO), K.U. Leuven-iMinds, Leuven, Belgium. E-mails: {Nicky.Sulmon, Mathijs.Verstraete}@soc.kuleuven.be | Televic Healthcare NV, Izegem, Belgium. E-mail: S.DeZutter@televic.com
Note: [] Corresponding author: Femke Ongenae, Ghent University-iMinds–IBCN, Gaston Crommenlaan 8, bus 201, 9050 Ghent, Belgium. E-mail: Femke.Ongenae@intec.ugent.be
Abstract: Ontology engineering methodologies tend to emphasize the role of the knowledge engineer or require a very active role of domain experts. In this paper, a participatory ontology engineering method is described that holds the middle ground between these two ‘extremes’. After thorough ethnographic research, an interdisciplinary group of domain experts closely interacted with ontology engineers and social scientists in a series of workshops. Once a preliminary ontology was developed, a dynamic care request system was built using the ontology. Additional workshops were organized involving a broader group of domain experts to ensure the applicability of the ontology across continuous care settings. The proposed method successfully actively engaged domain experts in constructing the ontology, without overburdening them. Its applicability is illustrated by presenting the co-created continuous care ontology. The lessons learned during the design and execution of the approach are also presented.
Keywords: Ontology engineering, co-design, continuous care, eHealth, participatory
DOI: 10.3233/AO-140131
Journal: Applied Ontology, vol. 9, no. 1, pp. 27-64, 2014
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