Abstract
Ontologies are applied to many applications in recent years, especially on the semantic web, information retrieval, information extraction, and question answering. The purpose of domain-specific ontology is to get rid of conceptual and terminological confusion. It accomplishes this by specifying a set of generic concepts that characterizes the domain as well as their definitions and interrelationships. There are some languages in order to represent ontologies, such as RDF, OWL. However, these languages are only suitable with ontologies having small data. For representing ontologies having big data, database is usually used. Many techniques and tools have been proposed over the last years. In this paper, we introduce an improved approach for mapping RDF or OWL to relational database based on the algorithm proposed by Kaunas University of Technology. This approach can be applied to ontologies having many classes and big data.
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Ta, C.D.C., Thi, T.P. (2015). Improving the Algorithm for Mapping of OWL to Relational Database Schema. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2015. Lecture Notes in Computer Science(), vol 9166. Springer, Cham. https://doi.org/10.1007/978-3-319-21024-7_9
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DOI: https://doi.org/10.1007/978-3-319-21024-7_9
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