Skip to main content
SpringerLink
Log in

Research on Ontology-Driven Information Retrieval

  • Conference paper
On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (OTM 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4278))

Abstract

An increasing number of recent information retrieval systems make use of ontologies to help the users clarify their information needs and come up with semantic representations of documents. A particular concern here is the integration of these semantic approaches with traditional search technology. The research presented in this paper examines how ontologies can be efficiently applied to large-scale search systems for the web. We describe how these systems can be enriched with adapted ontologies to provide both an in-depth understanding of the user’s needs as well as an easy integration with standard vector-space retrieval systems. The ontology concepts are adapted to the domain terminology by computing a feature vector for each concept. Later, the feature vectors are used to enrich a provided query. The whole retrieval system is under development as part of a larger Semantic Web standardization project for the Norwegian oil & gas sector.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gulla, J.A., Auran, P.G., Risvik, K.M.: Linguistic Techniques in Large-Scale Search Engines. Fast Search & Transfer 15 (2002)

    Google Scholar 

  2. Spink, A., Wolfram, D., Jansen, M.B.J., Saracevic, T.: Searching the Web: the public and their queries. J. Am. Soc. Inf. Sci. Technol. 52, 226–234 (2001)

    Article  Google Scholar 

  3. Grootjen, F.A., van der Weide, T.P.: Conceptual query expansion. Data & Knowledge Engineering 56, 174–193 (2006)

    Article  Google Scholar 

  4. Qiu, Y., Frei, H.-P.: Concept based query expansion. In: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 160–169. ACM Press, Pittsburgh (1993)

    Chapter  Google Scholar 

  5. Chang, Y., Ounis, I., Kim, M.: Query reformulation using automatically generated query concepts from a document space. Information Processing and Management 42, 453–468 (2006)

    Article  Google Scholar 

  6. Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5, 199–220 (1993)

    Article  Google Scholar 

  7. Tomassen, S.L., Gulla, J.A., Strasunskas, D.: Document Space Adapted Ontology: Application in Query Enrichment. In: 11th International Conference on Applications of Natural Language to Information Systems. Springer, Klagenfurt (2006)

    Google Scholar 

  8. Desmontils, E., Jacquin, C.: Indexing a Web Site with a Terminology Oriented Ontology. In: Cruz, I.F., Decker, S., Euzenat, J., McGuinness, D.L. (eds.) The Emerging Semantic Web, pp. 181–198. IOS Press, Amsterdam (2002)

    Google Scholar 

  9. Motta, E., Shum, S.B., Domingue, J.: Case Studies in Ontology-Driven Document Enrichment: Principles, Tools and Applications. International Journal of Human-Computer Studies 6, 1071–1109 (2000)

    Article  Google Scholar 

  10. Popov, B., Kiryakov, A., Kirilov, A., Manov, D., Ognyanoff, D., Goranov, M.: KIM - Semantic Annotation Platform. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 834–849. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Fensel, D., Harmelen, F.v., Klein, M., Akkermans, H., Broekstra, J., Fluit, C., Meer, J.v.d., Schnurr, H.-P., Studer, R., Hughes, J., Krohn, U., Davies, J., Engels, R., Bremdal, B., Ygge, F., Lau, T., Novotny, B., Reimer, U., Horrocks, I.: On-To-Knowledge: Ontology-based Tools for Knowledge Management. In: Proceedings of the eBusiness and eWork 2000 (EMMSEC 2000) Conference, Madrid, Spain (2000)

    Google Scholar 

  12. Sullivan, D.: Death of a Meta Tag. Search Engine Watch (2002)

    Google Scholar 

  13. Song, J.-F., Zhang, W.-M., Xiao, W., Li, G.-H., Xu, Z.-N.: Ontology-Based Information Retrieval Model for the Semantic Web. In: Proceedings of EEE 2005, pp. 152–155. IEEE Computer Society, Los Alamitos (2005)

    Google Scholar 

  14. Rocha, C., Schwabe, D., de Aragao, M.P.: A hybrid approach for searching in the semantic web. In: Proceeding of WWW 2004, pp. 374–383. ACM, New York (2004)

    Chapter  Google Scholar 

  15. Ciorăscu, C., Ciorăscu, I., Stoffel, K.: knOWLer - Ontological Support for Information Retrieval Systems. In: Proceedings of Sigir 2003 Conference, Workshop on Semantic Web, Toronto, Canada (2003)

    Google Scholar 

  16. Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D.: Semantic Annotation, Indexing, and Retrieval. Journal of Web Semantics 2(1) (2005)

    Google Scholar 

  17. Braga, R.M.M., Werner, C.M.L., Mattoso, M.: Using Ontologies for Domain Information Retrieval. In: Proceedings of the 11th International Workshop on Database and Expert Systems Applications, pp. 836–840. IEEE Computer Society, Los Alamitos (2000)

    Chapter  Google Scholar 

  18. Borghoff, U.M., Pareschi, R.: Information Technology for Knowledge Management. Journal of Universal Computer Science 3, 835–842 (1997)

    MATH  Google Scholar 

  19. Shah, U., Finin, T., Joshi, A., Cost, R.S., Mayfield, J.: Information Retrieval On The Semantic Web. In: Proceedings of Conference on Information and Knowledge Management, pp. 461–468. ACM Press, McLean (2002)

    Google Scholar 

  20. Vallet, D., Fernández, M., Castells, P.: An Ontology-Based Information Retrieval Model. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 455–470. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  21. Nagypál, G.: Improving Information Retrieval Effectiveness by Using Domain Knowledge Stored in Ontologies. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM-WS 2005. LNCS, vol. 3762, pp. 780–789. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  22. Paralic, J., Kostial, I.: Ontology-based Information Retrieval. Information and Intelligent Systems, Croatia, 23–28 (2003)

    Google Scholar 

  23. Chenggang, W., Wenpin, J., Qijia, T., et al.: An information retrieval server based on ontology and multiagent. Journal of computer research & development 38(6), 641–647 (2001)

    Google Scholar 

  24. Ozcan, R., Aslangdogan, Y.A.: Concept Based Information Access Using Ontologies and Latent Semantic Analysis. Technical Report CSE-2004-8. University of Texas at Arlington, p. 16 (2004)

    Google Scholar 

  25. Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. ACM Press, New York (1999)

    Google Scholar 

  26. Tomassen, S.L., Strasunskas, D.: Query Terms Abstraction Layers. In: Web Semantics (SWWS 2006) in conjunction with OnTheMove Federated Conferences (OTM 2006), Montpellier, France (Submitted, 2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Norwegian University of Technology and Science, NO-7491, Trondheim, Norway

    Stein L. Tomassen

Authors
  1. Stein L. Tomassen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, 3001, Melbourne, VIC, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tomassen, S.L. (2006). Research on Ontology-Driven Information Retrieval. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_50

Download citation

  • DOI: https://doi.org/10.1007/11915072_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48273-4

  • Online ISBN: 978-3-540-48276-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation