Development of Diagnostic Stroke Ontology - Preliminary Results

The paper presents the preliminary results of the research aiming at the development of the Diagnostic Stroke Ontology. The described machine processable knowledge representation was designed for the applications supporting stroke diagnosis and management of stroke patients. Applied methodology of ontology development was methontology with subsequent activities: specifications of requirements, domain knowledge acquisition, conceptualization and formalization of conceptual model followed by evaluation. Presented in the article structure and content of Stroke Diagnostic Ontology (DStrokeOnto ontology) include salient ontology modules, classes in modules, relations between modules, main classes definition and details of ontology metrics and expressivity. The DStrokeOnto ontology is syntactically correct, model completeness and logical consistency was verified by two experts in neurology and brain anatomy (excluding sub-module of Imaging Procedure For Stroke - in progress) as good quality interface to CT-based system of computeraided stroke diagnosis.