• DocumentCode
    1906107
  • Title

    EERtoOWL2: A Tool for Transforming RDB Data to OWL2 for Data Validation

  • Author

    Yajai, A. ; Sriharee, G.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., King Mongkut´ Univ. of Technol. North Bangkok, Bangkok, Thailand
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    970
  • Lastpage
    975
  • Abstract
    Data validation is an important task in order to ensure data quality. When the database has a complex data structure and, in addition, the data is changed by constraints related to the business of the database user, data validation can be a difficult task. This paper proposes the tool EERtoOWL2. The tool supports data validation using ontology reasoning. The relational database data is transformed into ontological data represented by OWL2. The transformation process relies on the Enhanced-Entity Relationship model. The tool validates the data and reports invalid data to the users. From the tool development, the OWL2 language has rich syntax and hence transformation of the relational database data into OWL2 is convenient. With ontology reasoning, the data validation process is efficient in detecting invalid data that may violate database integrity constraints as well as business/domain constraints.
  • Keywords
    data integrity; data structures; inference mechanisms; knowledge representation languages; ontologies (artificial intelligence); relational databases; EERtoOWL2; RDB data; business-domain constraints; complex data structure; data quality; data validation; database integrity constraints; enhanced-entity relationship model; ontology reasoning; relational database; Cognition; Data models; OWL; Ontologies; Relational databases; Semantics; Data Validation; Enhanced Entity Relationship; OWL2; Ontology Reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.137
  • Filename
    6495151