Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Using ontology to validate conceptual models
Communications of the ACM - Service-oriented computing
Ontology based object-oriented domain modelling: fundamental concepts
Requirements Engineering
Semantic Web Technologies: Trends and Research in Ontology-based Systems
Semantic Web Technologies: Trends and Research in Ontology-based Systems
Towards an Ontology of Factors Influencing Reverse Engineering
STEP '05 Proceedings of the 13th IEEE International Workshop on Software Technology and Engineering Practice
Multimedia Tools and Applications
Construction and applicability of military ontology for semantic data processing
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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The fast changing requirements are the main problem of creating and/or modifying conceptual data models. Most conceptual data models of information systems are created from scratch, wasting time and resources. Ontology represents the real-world domain knowledge. So ontology can be reused in conceptual model building. However ontology engineering is not mature enough. In this paper we propose the new approach to develop ontologies from relational databases using reverse engineering. The ontology can be evaluated, extended and reused as domain knowledge for other conceptual data models.