Applying an Ontology Learning Methodology to a Relational Database: University Case Study

Important knowledge can be recovered from relational database (RDB) associated with some information system specific domains and converted to semantics. Studying the processes and Methodological Resources (MR) for this conversion has gained relevance in Knowledge Engineering and, particularly, in the Ontology Learning (OL) field. Such MR, organized in an appropriate manner under a methodological strategy, will make it possible to take advantage of existing tools for converting the cited RDB to domain ontologies. A comparative conversion-tool analysis, having considered the tools capabilities, learning levels and some advantages, has been useful for selecting and aligning those tools with the methodology applied to the case study. Finally, the methodological strategy design and its application under a Systemic Methodology for OL (SMOL) is shown.