Skip to main content
SpringerLink
Log in

Indicating Important Parts in Searched Web Pages by Retrieval Keywords

  • Conference paper
Book cover Behavior and Social Computing (BSIC 2013, BSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8178))

  • 1100 Accesses

Abstract

Users cannot always find retrieval keywords immediately in web pages that are obtained by search engines. There are several reasons, one of which is that the retrieval keywords are hidden in searched web pages. To solve the problem, this paper develops software that indicates important HTML elements in searched web pages. The software finds HTML elements that are the most closely related with the retrieval keywords and indicates important part in searched web pages. This paper also evaluates the software by experiments. The results of the experiments show that the software can indicate important parts more correctly than existing similar software and reduce time taken to find the retrieval keywords in searched web pages.

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 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. Hirao, T., Isozaki, H., Maeda, E.: Extracting important sentences with support vector machines. In: Proceedings of 19th International Conference on Computational Linguistics, pp. 342–348 (2002)

    Google Scholar 

  2. Okamoto, J., Ishizaki, S.: Evaluation of extraction method of important sentence based on associative concept dictionary with distance information between concepts. In: Proceedings of the Conference of the Pacific Association for Computational Linguistics (PACLING 2003), pp. 315–323 (2003)

    Google Scholar 

  3. Otake, K., Okamoto, D., Kodama, M., Masuyama, S.: Information retrieval technology and test collections. a summarization system yellow for japanese newspaper articles. Transactions of Information Processing Society of Japan 43(2), 37–47 (2002) (in Japanese)

    Google Scholar 

  4. Sagara, N., Sunayama, W., Yachida, M.: Image labeling using key sentences of html. Electronics and Communications in Japan 89(7), 31–41 (2006)

    Article  Google Scholar 

  5. Sunayama, W., Yachida, M.: Panoramic view system for extracting key sentences based on viewpoints and application to a search engine. Journal of Network and Computer Applications 28(2), 115–127 (2005)

    Article  Google Scholar 

  6. Cascading Style Sheets, http://www.w3.org/Style/CSS/

  7. Google, https://www.google.co.jp

  8. Google Chrome Extension, http://developer.chrome.com/extensions/index.html

  9. Google Quick Scroll, https://chrome.google.com/webstore/detail/google-quick-scroll/okanipcmceoeemlbjnmnbdibhgpbllgc

  10. Google Toolbar, http://www.google.com/intl/ja/toolbar/ie/index.html

  11. HTML 4.01 Specification (1999), http://www.w3.org/TR/1999/REC-html401-19991224/

  12. Weblio English Thesaurus, http://ejje.weblio.jp/english-thesaurus

  13. Yahoo! Japan, http://www.yahoo.co.jp/

Download references

Author information

Authors and Affiliations

  1. Department of Information and Computer Sciences, Saitama University, 255, Shimo-ookubo, Sakura-ku, Saitama, Japan

    Shunichi Yokoo & Noriaki Yoshiura

Authors
  1. Shunichi Yokoo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Noriaki Yoshiura
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Advanced Analytics Institute, University of Technology, 2-12 Blackfriars Street, Chippendale, Blackfriars Campus, NSW 2008, Sydney, Australia

    Longbing Cao

  2. Institute of Scientific and Industrial Research, Osaka University, Japan

    Hiroshi Motoda

  3. Department of Computer Science, University of Minnesota, USA

    Jaideep Srivastava

  4. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Ee-Peng Lim

  5. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  6. Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St., Rm 1138 SEO, 60607, Chicago, IL, USA

    Philip S. Yu

  7. Leibniz Universität Hannover, Germany

    Wolfgang Nejdl

  8. Advanced Analytics Institute, University of Technology, Sydney, Australia

    Guandong Xu

  9. Deakin University, Burwood, VIC, Australia

    Gang Li

  10. Shanghai Jiao Tong University, 200240, Shanghai, China

    Ya Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Yokoo, S., Yoshiura, N. (2013). Indicating Important Parts in Searched Web Pages by Retrieval Keywords. In: Cao, L., et al. Behavior and Social Computing. BSIC BSI 2013 2013. Lecture Notes in Computer Science(), vol 8178. Springer, Cham. https://doi.org/10.1007/978-3-319-04048-6_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-04048-6_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04047-9

  • Online ISBN: 978-3-319-04048-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation