Skip to main content
SpringerLink
Log in

Ontological Profiles in Enterprise Search

  • Conference paper
Knowledge Engineering: Practice and Patterns (EKAW 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5268))

Abstract

Ontology-driven search applications use ontological concepts either to index documents or to guide and understand the users. Since ontologies by nature are domain-dependent and application-independent, though, there is no guarantee that their concepts are efficient in categorizing and retrieving information from a specific document index. This paper explains the idea of ontological profiles, which is an ontology adapted to the actual language used in a document collection or among the users. A method for constructing ontological profiles from petroleum documents is presented, as well as a search application that makes use of profiles to interpret users’ queries. Testing on real documents with a 20,000 concepts petroleum ontology reveals that the approach is useful in situations where recall is more critical than precision.

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 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.00
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.

Similar content being viewed by others

References

  1. Brasethvik, T.: Conceptual modeling for domain specific document description and retrieval. Ph.D Thesis, Norwegian University of Science and Technology (2004)

    Google Scholar 

  2. Gulla, J.A., Tomassen, S.L., Strasunskas, D.: Semantic interoperability in the norwegian petroleum industry. In: Karagiannis, D., Mayer, H.C. (eds.) 5th International Conference on Information Systems Technology and its Applications (ISTA 2006). Lecture Notes in Informatics (LNI), vol. P-84, pp. 81–94. Köllen Druck Verlag GmbH, Bonn, Klagenfurt Austria (2006)

    Google Scholar 

  3. Solskinnsbakk, G.: Extending Ontologies with Search-Relevant Weights. Technical report, Norwegian University of Science and Technology, Trondheim, Norway (2006)

    Google Scholar 

  4. Su, X.: Semantic Enrichment for Ontology Mapping. Ph.D thesis, Norwegian University of Science and Technology (2004)

    Google Scholar 

  5. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York (1999)

    Google Scholar 

  6. Rocha, C., Schwabe, D., Arago, M.P.d.: A Hybrid Approach for Searching in the Semantic Web. In: Proceedings of the Thirteenth International Conference on World Wide Web (WWW 2004), New York, NY, USA, pp. 374–383 (2004)

    Google Scholar 

  7. Pinheiro, W.A., Moura, A.M.d.C.: An Ontology Based-Approach for Semantic Search in Portals. In: Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004). IEEE Computer Society, Los Alamitos (2004)

    Google Scholar 

  8. Lei, Y., Uren, V., Motta, E.: SemSearch: A Search Engine for the Semantic Web. In: Staab, S., Svátek, V. (eds.) EKAW 2006. LNCS (LNAI), vol. 4248, pp. 238–245. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  9. Guha, R., McCool, R., Miller, E.: Semantic Search. In: WWW 2003: Proceedings of the Twelfth International Conference on World Wide Web, Budapest, Hungary (2003)

    Google Scholar 

  10. Sieg, A., Mobasher, B., Burke, R., Prabu, G., Lytinen, S.: Representing User Information Context with Ontologies. In: Proceedings of the 3rd International Conference on Universal Access in Human-Computer Interaction, HCI International 2005, Las Vegas, NV (July 2005)

    Google Scholar 

  11. Tomassen, S.L., Gulla, J.A., Strasunskas, D.: Document Space Adapted Ontology: Application in Query Enrichment. In: Kop, C., Fliedl, G., Mayr, H.C., Métais, E. (eds.) NLDB 2006. LNCS, vol. 3999, pp. 46–57. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway

    Geir Solskinnsbakk & Jon Atle Gulla

Authors
  1. Geir Solskinnsbakk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jon Atle Gulla
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Aldo Gangemi JĂ©rĂ´me Euzenat

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Solskinnsbakk, G., Gulla, J.A. (2008). Ontological Profiles in Enterprise Search. In: Gangemi, A., Euzenat, J. (eds) Knowledge Engineering: Practice and Patterns. EKAW 2008. Lecture Notes in Computer Science(), vol 5268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87696-0_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87696-0_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87695-3

  • Online ISBN: 978-3-540-87696-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation