Ontology Generator from Relational Database Based on Jena

نویسندگان

  • Shufeng Zhou
  • Haiyun Ling
  • Mei Han
  • Huaiwei Zhang
چکیده

There are a lot of difficulties in the ontology generation from relational database such as unclear generation approaches, un-unified ontology languages and so on. So in order to provide unified ontology and improve the quality of ontology generation, approach proposed in this paper firstly extracts database metadata information from relational database using reverse engineering technique, and then analyzes the correspondent relationship between relational database and OWL ontology, and presents an ontology generation from relational database. Finally, a prototype tool of the generator, implemented based on Jena in Java development platform, and case study demonstrates the feasibility and effectiveness of the approach.

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عنوان ژورنال:
  • Computer and Information Science

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2010