Abstract
The success of the Semantic Web strongly depends on the proliferation of ontologies, which requires fast and easy engineering of ontologies. The paper analyzes the semantic similarity between relational model and ontology, and proposes a semi-automatic ontology acquisition method(SOAM) based on data in relational database. SOAM tries to ensure the quality of constructed ontology and the automatic degree of acquiring process by balancing the cooperation between user contributions and machine learning. Because OWL is the latest ontology language standard recommended by W3C, the implementation of SOAM is given to acquire OWL ontology automatically as much as possible. Different from existing methods, the implementation method not only can acquire OWL ontology from relational database directly without demanding a middle model, but also can refine obtained ontology according to existing lexical knowledge repositories semi-automatically.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American feature article (2001)
OWL, Web Ontology Language, OWL (2004), http://www.w3.org/2004/OWL/
Codd, E.F.: A relational model of data for large shared data banks. CACM 13(6) (1970)
Maedche, A.: Ontology learning for the Semantic Web. Kluwer Academic Publishers, Boston (2002)
Ramanathan, S., Hodges, J.: Reverse engineering relational schemas to Object-Oriented schemas. Technical Report No. MSU-960701. Mississippi State University (1996)
Salzberg, B.: Third normal form made easy. Sigmoid Record 15(4), 2–18 (1986)
Li, M., Wang, D., Du, X., Wang, S.: Ontology construction for semantic web: a role-based collaborative development method. In: Zhang, Y., Tanaka, K., Yu, J.X., Wang, S., Li, M. (eds.) APWeb 2005. LNCS, vol. 3399, pp. 609–619. Springer, Heidelberg (2005)
Levenshtein, I.V.: Binary codes capable of correcting deletions, insertions, and reversals. Cybernetics and Control Theory 10(8), 707–710
Rishe, N.: Database design: the semantic modeling approach. McGraw-Hill, New York (1992)
Biskup, J.: Achievements of relational database schema design theory revisited. Semantics in Database. Springer, Heidelberg (1998)
Chiang, R., Barron, T., Storey, V.: Reverse engineering of relational databases: extraction of an EER model from a relational database. Journal of data and knowledge engineering 12(2), 107–142 (1994)
Vermeer, M., Apers, P.: Object-oriented views of relational databases incorporating behaviour. In: Proc. of DASFAA (1995)
Kashyap, V.: Design and creation of ontologies for environmental information retrieval. In: Proc. of the 12th Workshop on Knowledge Acquisition, Modeling and Management (1999)
Rubin, D.L., Hewett, M., Oliver, D.E., Klein, T.E., Altman, R.B.: Automatic data acquisition into ontologies from pharmacogenetics relational data sources using declarative object definitions and XML. In: Proc. of the Pacific Symposium on Biology (2002)
Stojanovic, L., Stojanovic, N., Volz, R.: Migrating data-intensive Web Sites into the Semantic Web. In: Proc. of the 17th ACM symposium on applied computing (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, M., Du, X., Wang, S. (2005). A Semi-automatic Ontology Acquisition Method for the Semantic Web. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_19
Download citation
DOI: https://doi.org/10.1007/11563952_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29227-2
Online ISBN: 978-3-540-32087-6
eBook Packages: Computer ScienceComputer Science (R0)