Abstract
Domain model is one of the most important artefacts in software engineering. It can be built with the use of domain ontologies. The objective of the authors’ research is to elaborate an effective approach to domain model construction based on knowledge extraction from existing ontologies. A significant element of the approach is knowledge extraction algorithm. In this paper, a modified, more flexible version of the extraction algorithm is presented. A comparison of the new algorithm with the old one is conducted based on a case study. Both algorithms produce similar results regarding quality measures. In contrast to the old algorithm, the new is parameterized and therefore can be applied in an incremental way what is a valuable feature.
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Hnatkowska, B., Huzar, Z., Tuzinkiewicz, L., Dubielewicz, I. (2017). A New Ontology-Based Approach for Construction of Domain Model. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_8
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