EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment

Manel Elloumi-Chaabene, Nesrine Ben Mustapha, Hajer Baazaoui-Zghal, Antonio Moreno, David Sánchez

2010

Abstract

The exponential growth of the data available on the Web requires more efficient search tools to find relevant information. In the context of the Semantic Web, ontologies improve the exploitation of Web resources by adding a consensual knowledge. However, the automation of ontology building is a hard problem. The exploitation of the users’ search feedback can aid to address that problem. In order to apply this solution, we present a semantic search system based on case-based-reasoning (CBR) and ontologies that automatically enriches the ontologies by using previous queries. In this paper we expose the contribution of CBR and ontologies in Semantic Web search. Some experiments on the system are presented, and the obtained results show an improvement on the precision of the Web search and ontology enrichment.

References

  1. Agirre, E., and Lacalle, O., 2004. Publicly available topic signatures for all wordnet nominal senses. In the 4rd International Conference on Language Resources and Evaluation (LREC) (Lisbon, Portugal, 2004).
  2. Baazaoui Zghal, H., Aufaure, MA., Ben Mustapha, N., 2007 Extraction of Ontologies from Web Pages: conceptual modeling and tourism Journal of internet Technologies.
  3. Baazaoui-Zghal, H. Aufaure, MA., Ben Mustapha, N. A, 2008. Model-Driven approach of ontological components for on-line semantic web information retrieval”, Journal on Web Engineering, Special Issue on Engineering the Semantic Web, Rinton Press, vol. 6, n°4, pp 309-336.
  4. Ben Mustapha N., Baazaoui Zghal H., Aufaure MA. and Ben Ghezala H., 2010. Enhancing Semantic Search using Case-Based Modular Ontology, In 25th Symposium On Applied Computing (SAC) , track on “The Semantic Web and Applications” (SWA), 22 - 26, Sierre, Switzerland.
  5. Ben Mustapha N., Baazaoui Zghal, H., Aufaure, MA. and Ben Ghezala, H., 2009a. Combining Semantic Search and Ontology Learning for Incremental Web Ontology Engineering, International Workshop on Web Information Systems Modeling (WISM 2009), Amsterdam.
  6. Ben Mustapha, N., Baazaoui Zghal, H., Aufaure, MA. and Ben Ghezala, H., 2009b. Ontology learning from Web : survey and framework based on semantic search, Second International conference on Web and Information Technologies, ICWIT2009, Kerkena, Tunisia.
  7. Berners-Lee, T., Hendler, J. and Lassila, O., 2001. The Semantic Web. Scientific American, May, pp. 29-37.
  8. Bradley N., 2001. The XML Companion, Addison-Wesley Professional Publisher.
  9. Charlet, J., Szulman, S., Pierra, G., Nadah, N., Teguiak, H. V., Aussenac-Gilles, N., et al. (2008). DAFOE: a multimodel and multimethod platform for building domain ontologies. in D. Benslimane, (Ed.), 2èmes Journées Francophones sur les Ontologies, JFO'08, ACM.
  10. Decker S., M. Erdmann, D. Fensel, I. Horrocks, M. Klein,F.van Harmelen, 2000. Oil in a nutshell, In Proceedings of the 12th European Knowledge Acquisition Workshop (EKAW'00).
  11. Doran P.. Ontology Reuse via Ontology Modularisation. In Proceedings of KnowledgeWeb PhD Symposium 2006 (KWEPSY2006), 17th June 2006. Budva, Montenegro.
  12. Guarino, N., 1998. Formal Ontology in Information Systems. In 1st International Conference on Formal Ontology in Information Systems (FOIS'98). Trento, Italy, pp. 3-15.
  13. Karp R., V. Chaudhri, J. Thomer, 2002. An xml-based ontology exchange language.
  14. Hearst, M. A., 1992. Automatic acquisition of hyponyms from large text corpora. In 14th International Conference on Computational Linguistics (COLING92). Nantes, France, pp. 539-545.
  15. Lassila O. R. R. Swick, 1999. Resource description framework (rdf) model and syntax specification w3c recommendation 22.
  16. Mangold, C., 2007. A survey and classification of semantic search approaches, In Journal of Metadata, Semantics and Ontology, Vol. 2, No. 1, pp.23-34.
  17. McGuinness D. L., F. van Harmelen, 2004. OWL Web Ontology Language Overview.
  18. Rose, D. E. and Levinson, D., 2004. Understanding User Goals in Web Search. In International World Wide Web Conference, New York, USA, pp. 13-19.
  19. Rosina O.Weber, Kevin D. Ashley and Stefanie Brüninghaus, 2005. Textual case-based reasoning. The Knowledge Engineering Review, Vol. 20:3, 255- 260.
  20. Salton G, Fox E.A, Rocchio J, Extended Boolean information retrieval system.CACM 26(11), pp. 1022 1036, 1983.
  21. Sánchez, D. and Moreno, A., 2008a. Learning nontaxonomic relationships from web documents for domain ontology construction, Data & knowledge Engineering, Vol. 63, No. 3, pp. 600-623.
  22. Sánchez, D. and Moreno, A., 2008b. Pattern-based automatic taxonomy learning from the Web, AI Communications, Vol. 21, No. 1, pp. 27-48.
  23. Watson, I., 1999. Case-based reasoning is a methodology not a technology, Knowledge-Based Systems, Vol. 12, No. 5, pp. 303-308.
Download


Paper Citation


in Harvard Style

Elloumi-Chaabene M., Ben Mustapha N., Baazaoui-Zghal H., Moreno A. and Sánchez D. (2010). EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 24-34. DOI: 10.5220/0003067600240034


in Bibtex Style

@conference{kdir10,
author={Manel Elloumi-Chaabene and Nesrine Ben Mustapha and Hajer Baazaoui-Zghal and Antonio Moreno and David Sánchez},
title={EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment },
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={24-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003067600240034},
isbn={978-989-8425-28-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - EVOLUTIVE CONTENT-BASED SEARCH SYSTEM - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment
SN - 978-989-8425-28-7
AU - Elloumi-Chaabene M.
AU - Ben Mustapha N.
AU - Baazaoui-Zghal H.
AU - Moreno A.
AU - Sánchez D.
PY - 2010
SP - 24
EP - 34
DO - 10.5220/0003067600240034