Tissot, H; Huve, CAG; Peres, LM; Fabro, MDD; (2019) Exploring logical and hierarchical information to map relational databases into ontologies. International Journal of Metadata, Semantics and Ontologies , 13 (3) pp. 191-208. 10.1504/IJMSO.2019.099834.

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Abstract

Ontologies are formal specifications of conceptualisations. Their designs require to understand the concepts involved in the domain to be mapped. One well-known method to produce ontologies is to extract their concepts from relational databases. We conducted a practical study over a real-world scenario on applying existing rules and we identified open issues to be addressed, such as the utilisation of logical metadata as a proper vocabulary, the implementation targeted to specific domains and mappings of hierarchical and self-hierarchical structures. In this paper, we present a novel approach that overcomes these issues. Our solution uses physical and logical models to enrich the terminology produced in the target ontology. It also contains a more comprehensive set of rules, taking into account instances and (self) hierarchies. We validate our approach with two experiments from the healthcare domain as input.

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