Semantic data modeling
Ontological semantics, formal ontology, and ambiguity
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Formal Ontology Engineering in the DOGMA Approach
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The mission of semantic data modelling lies in definition of the meaning of data within a context of data interrelationships. In our previous work, we created semantic models for geometric features of corporal tissues, and then developed an automatic tissue classification system. However, people who are not familiar with related background knowledge may not understand these highly specialized models. Consequently, these models cannot be shared and reused in other applications. Unlike semantic data modelling, ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is independent of specific applications. One of the ontology engineering approaches is DOGMA ontology. It consists of an ontology base which holds sets of conceptual relations and a layer of ontological commitments which holds the domain rules. In this paper, we propose to apply DOGMA ontology for formal representation of geometric features of corporal tissues, for the purpose of knowledge reusability.