Research on OWL Ontology Learning Method Based on Relational Schema
Chun-hua LIAO, Guang-yao XIONG, Chunlei Chen · DEStech Transactions on Computer Science and Engineering · 2019
Ontology learning is the key technology to construct knowledge base effectively. Most of data in information systems are organized in relational mode. Therefore, the purpose of this paper is to solve how to effectively learn ontology from relational data mode. It is found that the definition of OWL DL ontology based on description logic is similar to the formal definition of relational data schema. A semi-automatic learning method of OWL ontology based on relational schema is proposed in this paper. The method includes a set of mapping rules by which learning OWL ontology from relational schema. The mapping rule set consists of attribute axiom mapping, class axiom mapping and heuristic mapping. Finally, a prototype tool based on Java platform is used to build a knowledge base of traditional Chinese medicine, and the validity of the method is verified.