International Conference on Web-Age Information Management

WAIM 2006: Advances in Web-Age Information Management pp 520-531

Validating Semistructured Data Using OWL

  • Yuan Fang Li
  • Jing Sun
  • Gillian Dobbie
  • Jun Sun
  • Hai H. Wang
Conference paper

DOI: 10.1007/11775300_44

Volume 4016 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Li Y.F., Sun J., Dobbie G., Sun J., Wang H.H. (2006) Validating Semistructured Data Using OWL. In: Yu J.X., Kitsuregawa M., Leong H.V. (eds) Advances in Web-Age Information Management. WAIM 2006. Lecture Notes in Computer Science, vol 4016. Springer, Berlin, Heidelberg

Abstract

Semistructured data has become prevalent in both web applications and database systems. This rapid growth in use makes the design of good semistructured data essential. Formal semantics and automated reasoning tools enable us to reveal the inconsistencies in a semistructured data model and its instances. The Object Relationship Attribute model for Semistructured data (ORA-SS) is a graphical notation for designing and representing semistructured data. This paper presents a methodology of encoding the semantics of ORA-SS in the Web Ontology Language (OWL) and automatically validating the semistructured data design using the OWL reasoning tool – RACER. Our methodology provides automated consistency checking of an ORA-SS data model at both the schema and instance levels.

Keywords

Semistructured Data Semantic Web OWL Formal Verification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yuan Fang Li
    • 1
  • Jing Sun
    • 2
  • Gillian Dobbie
    • 2
  • Jun Sun
    • 1
  • Hai H. Wang
    • 3
  1. 1.School of ComputingNational University of SingaporeSingapore
  2. 2.Department of Computer ScienceThe University of AucklandNew Zealand
  3. 3.Department of Computer ScienceUniversity of Manchester