Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8001))

Abstract

We describe how hierarchical ontologies are used for classifying products, as well as for answering queries. For classifying and scoring product descriptions and queries in an electronic-commerce search engine, we make use of declarative subset/superset and part/whole hierarchies, such as the sense hierarchies provided by WordNet. Retrieval is also aided by use of the ontology. Results of experiments were encouraging.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Chen, H., Dumais, S.: Bringing order to the Web: Automatically categorizing search results. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, The Hague, The Netherlands, pp. 145–152. ACM Press (2000)

    Google Scholar 

  2. Dershowitz, N.: Entropic questioning (2005), Unpublished note at http://nachum.org/papers/entropy.pdf

  3. Dumais, S.T., Chen, H.: Hierarchical classification of Web content. In: Belkin, N.J., Ingwersen, P., Leong, M.K. (eds.) Proceedings of SIGIR-00, 23rd ACM International Conference on Research and Development in Information Retrieval, Athens, Greece, pp. 256–263. ACM Press (2000)

    Google Scholar 

  4. Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  5. Rubenczyk, T., Dershowitz, N., Choueka, Y., Flor, M., Hod, O., Roth, A.: Search engine method and apparatus (2004), Patent pending

    Google Scholar 

  6. Scott, S., Matwin, S.: Text classification using WordNet hypernyms. In: Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems, Montréal, Canada, pp. 45–52 (1998)

    Google Scholar 

  7. Sun, A., Lim, E.-P., Ng, W.-K.: Hierarchical text classification methods and their specification. In: Chan, A.T.S., Chan, S.C.F., Leong, H.V., Vincent, Ng, T.Y. (eds.) Cooperative Internet Computing, pp. 236–256. Kluwer Academic, Boston (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Choueka, Y., Dershowitz, N., Tal, L. (2014). Matching with a Hierarchical Ontology. In: Dershowitz, N., Nissan, E. (eds) Language, Culture, Computation. Computing - Theory and Technology. Lecture Notes in Computer Science, vol 8001. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45321-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-45321-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45320-5

  • Online ISBN: 978-3-642-45321-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics