• DocumentCode
    2544207
  • Title

    Rules and Implementation for Generating Ontology from Relational Database

  • Author

    Yutao Ren ; Lihong Jiang ; Fenglin Bu ; Hongming Cai

  • Author_Institution
    Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    1-3 Nov. 2012
  • Firstpage
    237
  • Lastpage
    244
  • Abstract
    On the purpose of generating ontologies from data sources on the practical application consideration, some rules on mapping relational database to ontologies are proposed. For the massive data stored in information systems, Master data management is brought in to make classification of data. Firstly, map the relation schema information into the ontology as concepts. Secondly, achieve the attributes, and map them to the properties in the ontology. Thirdly, analyze the constraints in databases, and modify the property constraints as needed in ontology. Then, extract the records into the ontology as individuals of concepts. At last, an implementation of generating ontologies from Mysql data source using the rules above is recommended as a case study of these rules. The result shows the rules are reasonable and complete in generating ontologies, and the method could be applied to the practical application.
  • Keywords
    SQL; ontologies (artificial intelligence); pattern classification; relational databases; Mysql data source; constraint analysis; data classification; master data management; ontology generation; property constraints; record extraction; relation schema information; relational database; Companies; Educational institutions; Ontologies; Relational databases; Semantics; Master Data Management; OWL; Ontology; Relational Database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Green Computing (CGC), 2012 Second International Conference on
  • Conference_Location
    Xiangtan
  • Print_ISBN
    978-1-4673-3027-5
  • Type

    conf

  • DOI
    10.1109/CGC.2012.48
  • Filename
    6382824