The cognitive walkthrough method: a practitioner's guide
Usability inspection methods
The CLEF Chronicle: Patient Histories Derived from Electronic Health Records
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
The Description Logic Handbook
The Description Logic Handbook
FaCT++ description logic reasoner: system description
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
Editorial: Using ontologies with UML class-based modeling: The TwoUse approach
Data & Knowledge Engineering
Data & Knowledge Engineering
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
A query language for logic architectures
PSI'09 Proceedings of the 7th international Andrei Ershov Memorial conference on Perspectives of Systems Informatics
An architecture for information exchange based on reference models
SLE'11 Proceedings of the 4th international conference on Software Language Engineering
Engineering use cases for modular development of ontologies in OWL
Applied Ontology - Modularity in Ontologies
Exploring interoperability approaches and challenges in healthcare data exchange
ICSH'13 Proceedings of the 2013 international conference on Smart Health
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The Web Ontology Language (OWL) provides a modelling paradigm that is especially well suited for developing models of large, structurally complex domains such as those found in Health Care and the Life Sciences. OWL's declarative nature combined with powerful reasoning tools has effectively supported the development of very large and complex anatomy, disease, and clinical ontologies. OWL, however, is not a programming language, so using these models in applications necessitates both a technical means of integrating OWL models with programs and considerable methodological sophistication in knowing how to integrate them. In this paper, we present an analytical framework for evaluating various OWL-Java combination approaches. We have developed a software framework for what we call hybrid modelling , that is, building models in which part of the model exists and is developed directly in Java and part of the model exists and is developed directly in OWL. We analyse the advantages and disadvantages of hybrid modelling both in comparison to other approaches and by means of a case study of a large medical records system.