Utilization of ontology in health for archetypes constraint enforcement

Authors:
Anny Kartika Sari;Wenny Rahayu;Dennis Wollersheim
Affiliations:
Department of Computer Science and Computer Engineering, La Trobe University, Victoria, Australia;Department of Computer Science and Computer Engineering, La Trobe University, Victoria, Australia;Department of Computer Science and Computer Engineering, La Trobe University, Victoria, Australia
Venue:
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III
Year:
2010

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Abstract

Most existing works in ontology deployment within the health industry are mainly focusing on the standardization and interoperability goals. In this paper, we propose the utilization of an ontology to apply a new constraint in health archetypes, i.e. the slot filling constraint. An archetype is a model that represents functional health concept such as admission record. It can reuse other existing archetypes through a slot. The name of a slot represents a more specific health concept such as head. The slot filling constraint restricts the selection of archetypes to fill in that specific slot so that only relevant archetypes are chosen from the available ones. Ontology is used to enforce this constraint. An approach on how to apply the constraint is presented based on the semantic similarity/relevance concept. The evaluation shows that the approach is a better alternative to the current slot filling process which depends on manual decision by the archetype author.