AN EXTENSION OF ONTOLOGY BASED DATABASES TO HANDLE PREFERENCES

Dilek Tapucu, Yamine Ait-Ameur, Stéphane Jean, Murat Osman Ünalir

2009

Abstract

Ontologies have been defined to make explicit the semantics of data. With the emergence of the SemanticWeb, the amount of ontological data (or instances) available has increased. To manage such data, Ontology Based DataBases (OBDBs), that store ontologies and their instance data in the same repository have been proposed. These databases are associated with exploitation languages supporting description, querying, etc. on both ontologies and data. However, usually queries return a big amount of data that may be sorted in order to find the relevant ones. Moreover, in the current, few approaches considering user preferences when querying have been developed. Yet this problem is fundamental for many applications especially in the e-commerce domain. In this paper, we first propose an extension of an existing OBDB, called OntoDB through extension of their ontology model in order to support semantic description of preferences. Secondly, an extension of an ontology based query language, called OntoQL defined on OntoDB for querying ontological data with preferences is presented. Finally, an implementation of the proposed extensions are described.

References

  1. Agrawal, R. and Wimmers, E. L. (2000). A framework for expressing and combining preferences. In SIGMOD Conference, pages 297-306.
  2. Alexaki, S., Christophides, V., Karvounarakis, G., and Tolle, K. (2001). Managing Voluminous RDF Description Bases. In Proceedings of the 2nd International Workshop on the Semantic Web, pages 1-13.
  3. Broekstra, J., Kampman, A., and van Harmelen, F. (2002). Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. In Proceedings of the 1st International Semantic Web Conference (ISWC'02), pages 54-68.
  4. Chong, E. I., Das, S., Eadon, G., and Srinivasan, J. (2005). An Efficient SQL-based RDF Querying Scheme. In Proceedings of the 31st international conference on Very Large Data Bases (VLDB'05), pages 1216-1227.
  5. Dehainsala, H., Pierra, G., and Bellatreche, L. (2007). OntoDB: An Ontology-Based Database for Data Intensive Applications. In Proceedings of the 12th International Conference on Database Systems for Advanced Applications (DASFAA'07), pages 497-508.
  6. Jean, S., Aït-Ameur, Y., and Pierra, G. (2006). Querying Ontology Based Database Using OntoQL. In Proceedings of On the Move to Meaningful Internet Systems 2006:(ODBASE'06), volume 4275 of Lecture Notes in Computer Science. Springer.
  7. Kieling, W. (2002). Foundations of preferences in database systems. In Mars, N. J. I., editor, Knowledge and Data Engineering, pages 311-322. IOS Press, Amsterdam.
  8. P. Gursk, T.Horvth, J. J. and Vanekov, V. (2008). User preference web search. experiments with a system connecting web and user. In To appear in the Computing and Informatics Journal, pages 25-32.
  9. Petrini, J. and Risch, T. (2007). Semantic Web Abridged Relational Databases. In Proceedings of the 18th International Conference on Database and Expert Systems Applications (DEXA'07), pages 455-459.
  10. Pierra, G., Dehainsala, H., Aït-Ameur, Y., and Bellatreche, L. (2005). Base de données à base ontologique : principes et mise en oeuvre. Ingénierie des Systèmes d'Information, 10(2):91-115.
  11. Siberski, W., Pan, J. Z., and Thaden, U. (2006). Querying the semantic web with preferences. In In Proceedings of the 5th International Semantic Web Conference (ISWC, pages 612-624.
  12. Toninelli, A., Corradi, A., and Montanari, R. (2008). Semantic-based discovery to support mobile contextaware service access. Computer Communications, 31(5):935-949.
  13. Viappiani, P., Faltings, B., and Pu, P. (2006). Preferencebased search using example-critiquing with suggestions. Journal of Artificial Intelligence Research, 27:2006.
Download


Paper Citation


in Harvard Style

Tapucu D., Ait-Ameur Y., Jean S. and Osman Ünalir M. (2009). AN EXTENSION OF ONTOLOGY BASED DATABASES TO HANDLE PREFERENCES . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8111-84-5, pages 208-213. DOI: 10.5220/0002010102080213


in Bibtex Style

@conference{iceis09,
author={Dilek Tapucu and Yamine Ait-Ameur and Stéphane Jean and Murat Osman Ünalir},
title={AN EXTENSION OF ONTOLOGY BASED DATABASES TO HANDLE PREFERENCES},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2009},
pages={208-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002010102080213},
isbn={978-989-8111-84-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - AN EXTENSION OF ONTOLOGY BASED DATABASES TO HANDLE PREFERENCES
SN - 978-989-8111-84-5
AU - Tapucu D.
AU - Ait-Ameur Y.
AU - Jean S.
AU - Osman Ünalir M.
PY - 2009
SP - 208
EP - 213
DO - 10.5220/0002010102080213