RDB2Onto: An approach for creating semantic metadata from relational educational data

Current techniques for retrieving content and usage information from educational data are based on keywords which including string combinations. This technique raises the limitation in terms of capturing learning conceptualization associated to the results. Aims to reveal this issue, this paper present an approach of creating semantic metadata from relational educational data into ontology using D2RQ mapping files. The selected relational data converted to the defined metadata template in ontology such as instances or data properties. Thereafter, the learning conceptualization which stored in ontology knowledge-based growth the metadata to retrieve information meaning based and then used for further analysis. The retrieval results are expected to present meaningful information based on users' needs.