Authors:
Femke Ongenae
1
;
Lizzy Bleumers
2
;
Nicky Sulmon
3
;
Mathijs Verstraete
3
;
Mieke Van Gils
3
;
An Jacobs
2
;
Saar De Zutter
4
;
Piet Verhoeve
4
;
Ann Ackaert
1
and
Filip De Turck
1
Affiliations:
1
Ghent University - IBBT, Belgium
;
2
Brussels University (VUB) - IBBT, Belgium
;
3
K.U. Leuven - IBBT, Belgium
;
4
Televic Healthcare NV, Belgium
Keyword(s):
Ontology engineering, Participatory, User-driven, Continuous care, eHealth.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Context
;
Data Engineering
;
Domain Analysis and Modeling
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Paradigm Trends
;
Software Engineering
;
Symbolic Systems
Abstract:
The patient room of the future would be able to sense the needs and preferences of the patients and nurses and adapt itself accordingly by combining all the heterogeneous data offered by the different technologies. This goal can be achieved by developing a context-aware framework, which exploits and integrates the heterogeneous data by utilizing a continuous care ontology. The existing ontology engineering methodologies are rather extreme in their choices to include domain experts. On the one hand, there are methodologies that only discuss the scope, use and requirements of the ontology with the domain experts. On the other hand, there are approaches in which the ontology is completely constructed by the domain experts by providing them with user-friendly and collaborative tools. In this paper, a participatory ontology engineering methodology is presented that finds a middle ground between these two extremes. The methodology actively involves social scientists, ontology engineers and
stakeholders. The stakeholders participate in each step of the ontology life cycle without having to construct the ontology themselves or attribute a large amount of their time. The applicability of the methodology is illustrated by presenting the co-created continuous care ontology.
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