Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
IEEE Internet Computing
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Methods in biomedical ontology
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Bioinformatics and biological reality
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Desiderata for domain reference ontologies in biomedicine
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Guest editorial: Ontological foundations for biomedical sciences
Artificial Intelligence in Medicine
Interactive multimedia animation with Macromedia Flash in Descriptive Geometry teaching
Computers & Education
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Ontological foundations for conceptual modelling
Applied Ontology - Ontological Foundations of Conceptual Modelling
Using ontologies linked with geometric models to reason about penetrating injuries
Artificial Intelligence in Medicine
OWL rules: A proposal and prototype implementation
Web Semantics: Science, Services and Agents on the World Wide Web
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
IEEE Transactions on Information Technology in Biomedicine
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Computational technologies have been increasingly explored to make biomedical knowledge and data more accessible for human understanding, comparison, analysis and communication. In this context, ontology has been recognized in the bioinformatics literature as a suitable technique for advancing knowledge and data representations in Biomedicine. Moreover, automated reasoning and visualization mechanisms can favor in providing support for human comprehensibility as well as in dealing with the complexity inherent to this domain. This paper elaborates on the application of ontology for heart electrophysiology representation, reasoning and visualization on the web. The ontology-based application we propose can be used to offer support for interactive learning in heart electrophysiology.