• DocumentCode
    2283144
  • Title

    Tool for Translating Relational Databases Schema into Ontology for Semantic Web

  • Author

    Zhou, Shufeng ; Meng, Guangwu ; Ling, Haiyun ; Zhang, Huaiwei

  • Author_Institution
    Sch. of Math. & Sci., Liaocheng Univ., Liaocheng, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    198
  • Lastpage
    201
  • Abstract
    Success of the Semantic Web depends on mass creation of computer understandable data. Ontology plays more and more important role in creating such semantic data on the Semantic Web. Now there are tools used to generate ontology from legacy database, but it is to some extent difficult for domain expert to understand the meaning between these tools, such as unclear generation approaches, un-unified ontology languages and so on. So in order to reach this goal and to improve the quality of ontology, approach proposed in this paper presents a prototype tool. The key feature of the tool is that it can directly and automatically translate relational database schema into ontology. Compared with existing approaches, it can obtain most implicit semantics in legacy database, including the classes, properties, cardinality and instances. The prototype tool is implemented based on Jena in Java and case study demonstrates the feasibility and effectiveness of the approach.
  • Keywords
    Java; ontologies (artificial intelligence); relational databases; semantic Web; Java; Jena; computer understandable data; domain expert; legacy database; ontology languages; relational databases schema; semantic Web; semantic data; Computer science education; Educational technology; Java; Mechanical factors; OWL; Ontologies; Prototypes; Relational databases; Resource description framework; Semantic Web; OWL; Ontology; Relational Database; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.208
  • Filename
    5458899