Exploring logical and hierarchical information to map relational databases into ontologies

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.
    author  = {Hegler Tissot and Cristiane Aparecida Gon{\c{c}}alves Huve and 
               Leticia Mara Peres and Marcos Didonet Del Fabro},
    title   = {Exploring logical and hierarchical information to map relational 
               databases into ontologies},
    journal = {{IJMSO}},
    volume  = {13},
    number  = {3},
    pages   = {191--208},
    year    = {2019},
    doi     = {10.1504/IJMSO.2019.099834}