Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems

Davide Buscaldi, Mari Carmen Suarez Figueroa

Abstract

Nowadays, a growing number of information retrieval systems make use of ontologies to improve the access to textual information, especially in domain-specific scenarios, where the knowledge provided by ontologies represents a key factor. Such kinds of retrieval systems are often referred to as ontology-based or semantic information retrieval systems. The quality of ontologies plays an important role in such systems in the sense that modelling errors in the ontologies may deteriorate the quality of the results obtained by these systems. In this paper we provide a comprehensive analysis of how ontology pitfalls have an influence on these kinds of systems. This study allows us to have a more complete understanding of the role of ontology quality in the information retrieval field. Our survey shows that pitfalls may act as an indicator not only of possible problems in ontology design, but also of OWL features overseen by system developers.

References

  1. Abasolo, J. M., Gómez, M.: MELISA. An ontology-based agent for information retrieval in medicine. Proceedings of the First International Workshop on the Semantic Web (SemWeb2000), pp. 73-82. (2000).
  2. Bannour, I., Zargayouna, H.: Une plateforme open-source de recherche d'information sémantique. CORIA 2012: 167-178. (2012).
  3. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American, vol. 284 no.5, pp. 34-43 (2001).
  4. Bhagdev, R., Chapman, S., Ciravegna, F., Lanfranchi, V., Petrelli D.: Hybrid Search : Effectively Combining Keywords and Semantic Searches. ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications Pages 554-568. (2008).
  5. Burton-Jones, A., Storey, V. C., and Sugumaran, V., and Ahluwalia, P.: A Semiotic Metrics Suite for Assessing the Quality of Ontologies. Data and Knowledge Engineering, (55:1), pp. 84-102. (2005).
  6. Castells, P., Fernández, M., Vallet, D.: An adaptation of the Vector-Space Model for Ontology-Based Information Retrieval. IEEE Transactions on Knowledge and Data Engineering, 19(2): 261-272 (2007).
  7. Ciorascu, C., Ciorascu, I., Stoffel, K.: knOWLer - Ontological Support for Information Retrieval Systems. Proceedings of 26th Annual International ACM SIGIR Conference, Workshop on Semantic Web (2003).
  8. Corcho, O., Gómez-Pérez, A., González-Cabero, R., Suárez-Figueroa, M. C.: ODEval: a Tool for Evaluating RDF(S), DAML+OIL, and OWL Concept Taxonomies. In: 1st IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2004), August 22-27, 2004, Toulouse, France. (2004).
  9. Djedidi, R., Aufaure, M. A.: Onto-Evoal an Ontology Evolution Approach Guided by Pattern Modelling and Quality Evaluation. Proceedings of the Sixth International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2010), February 15-19 2010, Sofia, Bulgaria (2010).
  10. Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann J.: Modelling Ontology Evaluation and Validation. Proceedings of the 3rd European Semantic Web Conference (ESWC2006), number 4011 in LNCS, Budva. (2006).
  11. Gómez-Pérez, A.: Ontology Evaluation. Handbook on Ontologies. S. Staab and R. Studer Editors. Springer. International Handbooks on Information Systems. Pp: 251-274. (2004).
  12. Gulla, J. A., Borch, H. O., Ingvaldsen, J. E.: Ontology learning for search applications. In Proceedings of the 2007 OTM Confederated International Conference on On The Move to Meaningful Internet Systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I (OTM'07), Robert Meersman and Zahir Tari (Eds.), Vol. Part I. Springer-Verlag, Berlin, Heidelberg, 1050-1062. (2007).
  13. Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D.: Semantic Annotation, indexing and Retrieval. Journal of Web Semantics 2, 49-79. (2004).
  14. Liu, C. H., Hung, S. C., Jain, J. L., Chen, J. Y.: Semiautomatic Annotation System for OWL-based Semantic Search. CISIS, pp.475-480, International Conference on Complex, Intelligent and Software Intensive Systems. (2009).
  15. Müller, H., Kenny E., Sternberg, P.: Textpresso: An Ontology-based Information Retrieval and Extraction System for biological Literature. PLoS Biology, Vol. 2, Nr. 11, p. 1984-1998. (2004).
  16. Pammer, V.: PhD Thesis: Automatic Support for Ontology Evaluation Review of Entailed Statements and Assertional Effects for OWL Ontologies. Engineering Sciences. Graz University of Technology. (2010).
  17. Poveda, M., Suárez-Figueroa, M. C., Gómez-Pérez, A.: Validating Ontologies with OOPS!. EKAW 2012, Galway City, Ireland, October 8-12, 2012. Proceedings. Lecture Notes in Computer Science Volume 7603, pp 267-281. ISBN: 978-3-642-33875-5. (2012).
  18. Poveda, M., Suárez-Figueroa, M. C., Gómez-Pérez, A.: A Double Classification of Common Pitfalls in Ontologies. OntoQual 2010 - Workshop on Ontology Quality at the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010). Lisbon, Portugal. (2010).
  19. Presutti, V., Gangemi, A., David S., Aguado, G., SuárezFigueroa, M. C., Montiel-Ponsoda, E., Poveda, M.: NeOn D2.5.1: A Library of Ontology Design Patterns: reusable solutions for collaborative design of networked ontologies. NeOn project. (FP6-27595). (2008).
  20. Pruski, C., Guelfi, N., Reynaud, C.: Adaptive OntologyBased Web Information Retrieval: The TARGET Framework. IJWP 3(3): 41-58 (2011).
  21. Rector, A., Drummond, N., Horridge, M., Rogers, J., Knublauch, H., Stevens, R., Wang, H., Wroe, C.: Owl pizzas: Practical experience of teaching owl-dl: Common errors and common patterns. In Proc. of EKAW 2004, pp: 63-81. Springer. (2004).
  22. Reymonet, A., Thomas, J., Aussenac-Gilles, N.: Ontologies et Recherche d'Information: Une application au diagnostic automobile. Journées Francophones d'Ingénierie des Connaissances (IC 2010), Nîmes (France) (2010).
  23. Sabou, M., Fernandez, M.: Ontology (Network) Evaluation. Ontology Engineering in a Networked World. Suárez-Figueroa, M. C., Gómez-Pérez, A., Motta, E., Gangemi, A. Editors. Pp. 193-212, Springer. ISBN 978-3-642-24793-4. (2012).
  24. Shah, U., Finin, T., Joshi, A., Cost, R. S., Mayfield, J.: Information Retrieval on the Semantic Web. CIKM 7802, November 4-9, McLean, Virginia, USA. (2002).
  25. Suárez-Figueroa, M. C.: PhD Thesis: NeOn Methodology for Building Ontology Networks: Specification, Scheduling and Reuse. Spain. Universidad Politécnica de Madrid. (2010).
  26. Tomassen, S. L., Strasunskas, D.: An ontology-driven approach to web search: analysis of its sensitivity to ontology quality and search tasks. In Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS 7809). ACM, New York, NY, USA, 130-138. (2009).
Download


Paper Citation


in Harvard Style

Buscaldi D. and Carmen Suarez Figueroa M. (2013). Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 301-307. DOI: 10.5220/0004550203010307


in Bibtex Style

@conference{keod13,
author={Davide Buscaldi and Mari Carmen Suarez Figueroa},
title={Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={301-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004550203010307},
isbn={978-989-8565-81-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems
SN - 978-989-8565-81-5
AU - Buscaldi D.
AU - Carmen Suarez Figueroa M.
PY - 2013
SP - 301
EP - 307
DO - 10.5220/0004550203010307