Generic tasks and task structures: history, critique and new directions
Second generation expert systems
A Collaborative Environment for Authoring Large Knowledge Bases
Journal of Intelligent Information Systems
Journal of Biomedical Informatics
Methodological Review: Formal representation of eligibility criteria: A literature review
Journal of Biomedical Informatics
Ontological-based model for human resource decision support system (HRDSS)
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Flexible behaviour regulation in agent based systems
CARE@AI'09/CARE@IAT'10 Proceedings of the CARE@AI 2009 and CARE@IAT 2010 international conference on Collaborative agents - research and development
Dynamic categorization of clinical research eligibility criteria by hierarchical clustering
Journal of Biomedical Informatics
Development and evaluation of an ontology for guiding appropriate antibiotic prescribing
Journal of Biomedical Informatics
Journal of Biomedical Informatics
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Randomized controlled trials (RCTs) are one of the least biased sources of clinical research evidence, and are therefore a critical resource for the practice of evidence-based medicine. With over 10,000 new RCTs indexed in Medline each year, knowledge systems are needed to help clinicians translate evidence into practice. Common ontologies for RCTs and other domains would facilitate the development of these knowledge systems. However, no standard method exists for developing domain ontologies. In this paper, we describe a new systematic approach to specifying and evaluating the conceptual content of ontologies. In this method, called competency decomposition, the target task for an ontology is hierarchically decomposed into subtasks and methods, and the ontology content is specified by identifying the domain information required to complete each of the subtasks. We illustrate the use of this competency decomposition approach for the content specification and evaluation of an RCT ontology for evidence-based practice.