Abstract
In the last decade, an increasing number of biomedical, scientific and business domains have made significant effort to standardize their terminology and organize domain knowledge using ontologies, for example in order to facilitate data exchange. It is a tempting idea to model domain knowledge using ontology and then use relational database to provide persistent information storage, search and retrieval utilizing transaction management, security and integrity control. For this it is necessary to transform an ontology into relational database. The goal of the paper is to present rule-based algorithm transforming OWL ontology into relational database. The algorithm not only transforms ontology structure (TBox) into database schema, ontology instances (ABox) into RDB instances, but also automatically creates user interface for database content access and exploration. The Authors tested and applied algorithm to convert FSTPPDO (the model representing knowledge concerning physiological models of mass transport phenomenon) into Transport Model Coefficients, a database containing the results of peritoneal dialyze research.
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Podsiadły-Marczykowska, T., Gambin, T., Zawiślak, R. (2014). Rule-Based Algorithm Transforming OWL Ontology Into Relational Database. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures, and Structures. BDAS 2014. Communications in Computer and Information Science, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-06932-6_15
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DOI: https://doi.org/10.1007/978-3-319-06932-6_15
Publisher Name: Springer, Cham
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