Skip to main content

Assigning Library Classification Numbers to People on the Web

  • Conference paper
Information Retrieval Technology (AIRS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8281))

Included in the following conference series:

Abstract

To help users select and understand people during searches for them, we present a method of assigning Nippon Decimal Classification (NDC), which is a system of library classification numbers, to people on the web. By assigning NDC numbers to people, we can assign not only labels to people but also build a NDC-based people-search directory. We use a relative index in NDC, which lists the related index terms attached to NDC. We developed a prototype based on this approach. We evaluated the usefulness of our proposed method and directory and found that extracting relative index terms from the titles of web pages outperformed comparative methods.

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.

Similar content being viewed by others

References

  1. Wan, X., Gao, J., Li, M., Ding, B.: Person Resolution in Person Search Results: WebHawk. In: Proceedings of the Fourteenth ACM Conference on Information and Knowledge Management (CIKM 2005), pp. 163–170. ACM Press, New York (2005)

    Google Scholar 

  2. Ueda, H., Murakami, H., Tatsumi, S.: Assigning Vocation-Related Information to Person Clusters for Web People Search Results. In: Proceedings of the 2009 Global Congress on Intelligent Systems (GCIS 2009), vol. 4, pp. 248–253. IEEE Press, New York (2009)

    Chapter  Google Scholar 

  3. Mori, J., Matsuo, Y., Ishizuka, M.: Personal Keyword Extraction from the Web. Journal of Japanese Society for Artificial Intelligence 20, 337–345 (2005)

    Article  Google Scholar 

  4. Chan, L.M.: Exploiting LCSH, LCC, and DDC to Retrieve Networked Resources: Issues and Challenges. In: Proceedings of the Bicentennial Conference on Bibliographic Control for the New Millennium, pp. 159–178. Library of Congress, Washington DC (2001)

    Google Scholar 

  5. Murakami, H., Takamori, Y., Ueda, H., Tatsumi, S.: Assigning Location Information to Display Individuals on a Map for Web People Search Results. In: Lee, G.G., Song, D., Lin, C.-Y., Aizawa, A., Kuriyama, K., Yoshioka, M., Sakai, T. (eds.) AIRS 2009. LNCS, vol. 5839, pp. 26–37. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Sato, S., Kazama, K., Fukuda, K.: Distinguishing between People on the Web with the Same First and Last Name by Real-world Oriented Web Mining. IPSJ Transactions on Databases 46(8), 26–36 (2005)

    Google Scholar 

  7. Murakami, H., Ura, Y.: People Search using NDC Classification System. In: Proceedings of Fourth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2011), pp. 13–14. ACM Press, New York (2011)

    Chapter  Google Scholar 

  8. Artiles, J., Borthwick, A., Gonzalo, J., Sekine, S., Amigo, E.: WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks. In: CLEF 2010 (2010)

    Google Scholar 

  9. Kiyota, Y., Nakagawa, H., Sakai, S., Mori, T., Masuda, H.: Exploitation of the Wikipedia Category System for Enhancing the Value of LCSH. In: Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, p. 411. ACM Press, New York (2009)

    Google Scholar 

  10. Golub, K.: Automated Subject Classification of Textual Web Document. Journal of Documentation 62(3), 350–371 (2006)

    Article  Google Scholar 

  11. Jenkins, C., Jackson, M., Burden, P., Wallis, J.: Automatic Classification of Web Resources using Java and Dewey Decimal Classification. Computer Networks and ISDN Systems 30(1-7), 646–648 (1998)

    Article  Google Scholar 

  12. Automatic Classification Research at OCLC, http://www.oclc.org/research/activities/auto_class.html

  13. Frank, E., Paynter, G.W.: Predicting Library of Congress Classifications From Library of Congress Subject Headings. Journal of the American Society for Information Science and Technology 55(3), 214–227 (2004)

    Article  Google Scholar 

  14. Balog, K., Fang, Y., de Rijke, M., Serdyukov, P., Si, L.: Expertise Retrieval. Foundations and Trends in Information Retrieval 6(2-3), 127–256 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Murakami, H., Ura, Y., Kataoka, Y. (2013). Assigning Library Classification Numbers to People on the Web. In: Banchs, R.E., Silvestri, F., Liu, TY., Zhang, M., Gao, S., Lang, J. (eds) Information Retrieval Technology. AIRS 2013. Lecture Notes in Computer Science, vol 8281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45068-6_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-45068-6_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45067-9

  • Online ISBN: 978-3-642-45068-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics