Skip to main content

Entity Ranking Based on Category Expansion

  • Conference paper
Focused Access to XML Documents (INEX 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4862))

Abstract

This paper introduces category and link expansion strategies for the XML Entity Ranking track at INEX 2007. Category expansion is a coefficient propagation method for the Wikipedia category hierarchy based on given categories or categories derived from sample entities. Link expansion utilizes links between Wikipedia articles. The strategies are evaluated within the entity ranking and list completion tasks.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arvola, P.: Document Order Based Scoring for XML Retrieval. In: Pre-Proceedings of INEX 2007, pp. 111–116 (2007)

    Google Scholar 

  2. Aswath, D., Ahmed, S.T., D’cunha, J., Davulcu, H.: Boosting Item Keyword Search with Spreading Activation. In: 2005 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 704–707. IEEE Computer Society, Washington (2005)

    Chapter  Google Scholar 

  3. Chakrabarti, K., Ganti, V., Han, J., Xin, D.: Ranking Objects by Exploiting Relationships: Computing Top-K over Aggregation. In: 2006 ACM SIGMOD International Conference on Management of Data, pp. 371–382. ACM Press, New York (2006)

    Chapter  Google Scholar 

  4. Code, K., Jones, M.T., McClendon, B., Charaniya, A.P., Ashbridge, M., Images, V.P., Class, P.: Entity Display Priority in a Distributed Geographic Information System, United States Patent Application No. 20070143345 (2007)

    Google Scholar 

  5. Craswell, N., Hawking, D., Vercoustre, A.M., Wilkins, P.: P@noptic Expert: Searching for Experts not just for Documents. In: 7th Australian World Wide Web Conference, pp. 21–25 (2001)

    Google Scholar 

  6. Craswell, N., de Vries, A.P., Soboroff, I.: Overview of the TREC-2005 Enterprise Track. In: 14th Text REtrieval Conference, NIST Special Publication 500-266, pp. 199–205 (2005), http://trec.nist.gov/pubs/trec14/t14_proceedings.html

  7. Crestani, F.: Application of Spreading Activation Techniques in Information Retrieval. Artificial Intelligence Review 11(6), 453–482 (1997)

    Article  Google Scholar 

  8. Fang, H., Zhou, L., Zhai, C.-X.: Language Models for Expert Finding: UIUC TREC 2006 Enterprise Track experiments. In: 15th Text REtrieval Conference, NIST Special Publication 500-272 (2006), http://trec.nist.gov/pubs/trec15/t15_proceedings.html

  9. Geva, S.: GPX: Gardens Point XML IR at INEX 2006. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 137–150. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  10. Google Maps, http://www.google.com/maps

  11. Google Product Search, http://www.google.com/products

  12. Grishman, R., Sundheim, B.: Message Understanding Conference-6: A brief History. In: 16th Conference on Computational Linguistics 1, pp. 466–471. Association for Computational Linguistics, Morristown (1996)

    Chapter  Google Scholar 

  13. Järvelin, K., Kekäläinen, J., Niemi, T.: ExpansionTool: Concept-based Query Expansion and Construction. Information Retrieval 4(3/4), 231–255 (2001)

    Article  MATH  Google Scholar 

  14. Mattox, D.: Expert Finder. The Edge: The MITRE Advanced Technology Newsletter 2(1) (1998)

    Google Scholar 

  15. Niemi, T.: A Seven-tuple Representation for Hierarchical Data Structures. Information Systems 8(3), 151–157 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  16. Rode, H., Serdyukov, P., Hiemstra, D., Zaragoza, H.: Entity Ranking on Graphs: Studies on Expert Finding. Technical Report TR-CTIT-07-81, Centre for Telematics and Information Technology, University of Twente, Enschede (2007)

    Google Scholar 

  17. Serdyukov, P., Rode, H., Hiemstra, D.: University of Twente at the TREC 2007 Enterprise Track: Modeling Relevance Propagation for the Expert Search Task. In: 16th Text REtrieval Conference, NIST Special Publication 500-274 (2007), http://trec.nist.gov/pubs/trec16/t16_proceedings.html

  18. Sugiyama, K., Hatano, K., Yoshikawa, M., Uemura, S.: Refinement of tf–idf schemes for web pages using their hyperlinked neighboring pages. In: 14th ACM Conference on Hypertext and Hypermedia, pp. 198–207. ACM Press, New York (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Norbert Fuhr Jaap Kamps Mounia Lalmas Andrew Trotman

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jämsen, J., Näppilä, T., Arvola, P. (2008). Entity Ranking Based on Category Expansion. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds) Focused Access to XML Documents. INEX 2007. Lecture Notes in Computer Science, vol 4862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85902-4_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85902-4_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85901-7

  • Online ISBN: 978-3-540-85902-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics