Skip to main content

Wikipedia-Based Document Categorization

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7053))

Abstract

A novel method of text categorization for Polish language documents, based on Polish Wikipedia resources is presented. The distinctive feature of the approach is that document labelling can be performed with no additional categorized corpora. Experiments with two different types of document semantic disambiguation have been performed, and evaluated according to the several quality metrics.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Coursey, K., Mihalcea, R.: Topic identification using Wikipedia graph centrality. In: NAACL 2009: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, pp. 117–120. Association for Computational Linguistics, Morristown (2009), http://portal.acm.org/citation.cfm?id=1620887

    Google Scholar 

  2. Medelyan, O., Witten, I.H., Milne, D.: Topic indexing with wikipedia. In: Proceedings of the First AAAI Workshop on Wikipedia and Artificial Intelligence, WIKIAI 2008 (2008)

    Google Scholar 

  3. Mihalcea, R., Csomai, A.: Wikify!: linking documents to encyclopedic knowledge. In: Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 6-10, pp. 233–242. ACM (2007)

    Google Scholar 

  4. Milne, D., Witten, I.H.: An effective, low-cost measure of semantic relatedness obtained from wikipedia links. In: Proceedings of the First AAAI Workshop on Wikipedia and Artificial Intelligence, WIKIAI 2008 (2008)

    Google Scholar 

  5. Milne, D.N., Witten, I.H.: Learning to link with wikipedia. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, CA, USA, October 26-30, pp. 509–518. ACM (2008)

    Google Scholar 

  6. Pirrò, G., Seco, N.: Design, implementation and evaluation of a new semantic similarity metric combining features and intrinsic information content. In: Chung, S. (ed.) OTM 2008, Part II. LNCS, vol. 5332, pp. 1271–1288. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Seppänen, J.K., Bingham, E., Mannila, H.: A simple algorithm for topic identification in 0–1 data. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) PKDD 2003. LNCS (LNAI), vol. 2838, pp. 423–434. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Pascal Bouvry Mieczysław A. Kłopotek Franck Leprévost Małgorzata Marciniak Agnieszka Mykowiecka Henryk Rybiński

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ciesielski, K., Borkowski, P., Kłopotek, M.A., Trojanowski, K., Wysocki, K. (2012). Wikipedia-Based Document Categorization. In: Bouvry, P., Kłopotek, M.A., Leprévost, F., Marciniak, M., Mykowiecka, A., Rybiński, H. (eds) Security and Intelligent Information Systems. SIIS 2011. Lecture Notes in Computer Science, vol 7053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25261-7_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25261-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25260-0

  • Online ISBN: 978-3-642-25261-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics