Abstract
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.
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Kang, H., Meersman, R. (2009). Formal Representation of Tissue Geometric Features by DOGMA Ontology. In: Magnenat-Thalmann, N. (eds) Modelling the Physiological Human. 3DPH 2009. Lecture Notes in Computer Science, vol 5903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10470-1_19
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DOI: https://doi.org/10.1007/978-3-642-10470-1_19
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