Toward a unified framework for version modeling in engineering databases
ACM Computing Surveys (CSUR)
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Ontological Engineering
The Knowledge Engineering Review
Comparing formal theories of context in AI
Artificial Intelligence
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
Ontologies: How can They be Built?
Knowledge and Information Systems
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Methods in biomedical ontology
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
The double role of ontologies in information science research: Research Articles
Journal of the American Society for Information Science and Technology
Time to rethink health care and ICT?
Communications of the ACM - Smart business networks
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Multi-agent ontology-based Web 2.0 platform for medical rehabilitation
Expert Systems with Applications: An International Journal
The transformation of surgery patient care with a clinical research information system
Expert Systems with Applications: An International Journal
A methodology for extending domain coverage in SemRep
Journal of Biomedical Informatics
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Objective: To describe and illustrate a four stage methodological approach to capture user knowledge in a biomedical domain area, use that knowledge to design an ontology, and then implement and evaluate the ontology as a health information system (HIS). Methods and materials: A hybrid participatory design-grounded theory (GT-PD) method was used to obtain data and code them for ontology development. Prototyping was used to implement the ontology as a computer-based tool. Usability testing evaluated the computer-based tool. Results: An empirically derived domain ontology and set of three problem-solving approaches were developed as a formalized model of the concepts and categories from the GT coding. The ontology and problem-solving approaches were used to design and implement a HIS that tested favorably in usability testing. Conclusions: The four stage approach illustrated in this paper is useful for designing and implementing an ontology as the basis for a HIS. The approach extends existing ontology development methodologies by providing an empirical basis for theory incorporated into ontology design.