Understanding Quality in Conceptual Modeling
IEEE Software
Analysis patterns: reusable objects models
Analysis patterns: reusable objects models
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Defining and Validating Measures for Conceptual Data Model Quality
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
Experiments on pattern-based ontology design
Proceedings of the fifth international conference on Knowledge capture
Modelling ontology evaluation and validation
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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The study of ontology design patterns (ODPs) is a fairly recent development. Such patterns simplify ontology development by codifying and reusing known best practices, thus lowering the barrier to entry of ontology engineering. However, while ODPs appear to be a promising addition to research and while such patterns are being presented and used, work on patterns as artifacts of their own, i.e. methods of developing, identifying and evaluating them, is still uncommon. Consequently, little is known about what ODP features or characteristics are beneficial or harmful in different ontology engineering situations. The presented PhD project aims to remedy this by studying ODP quality characteristics and what impact these characteristics have on the usability of ODPs themselves and on the suitability of the resulting ontologies.