Ontologies, as formal representations of domain knowledge, enable knowledge sharing between different knowledge-based applications. Diverse techniques originating from the field of artificial intelligence are aimed at facilitating ontology development. However, these techniques, although well known to AI experts, are typically unknown to a large population of software engineers. In order to overcome the gap between the knowledge of software engineering practitioners and AI techniques, a few proposals have been made suggesting the use of well-known software engineering techniques, such as UML, for ontology development (Cranefield 2001a).
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© 2009 Springer-Verlag Berlin Heidelberg
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Gaševic, D., Djuric, D., Devedžic, V. (2009). Software Engineering Approaches to Ontology Development. In: Model Driven Engineering and Ontology Development. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00282-3_6
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DOI: https://doi.org/10.1007/978-3-642-00282-3_6
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