A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Information systems development and data modeling: conceptual and philosophical foundations
Information systems development and data modeling: conceptual and philosophical foundations
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Fundamentals of Database Systems
Fundamentals of Database Systems
IEEE Intelligent Systems
Knowledge level modelling: concepts and terminology
The Knowledge Engineering Review
Developing Bioinformatics Computer Skills
Developing Bioinformatics Computer Skills
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Position paper: a comparison of two modelling paradigms in the Semantic Web
Proceedings of the 15th international conference on World Wide Web
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The use of formal ontologies during the process of information modeling is gaining acceptance. Since a given domain ontology captures a formal and explicit representation of the consensual knowledge within a domain, deriving ontology-driven conceptual data models can participate in developing better conceptual data models for understanding the problem domain. This paper demonstrates an approach to derive a conceptual data model from domain ontology. The main result is a formal framework that explains mapping rules between domain ontology and a conceptual data model.