Enabling Efficient Browsing and Manipulation of Web Tables on Smartphone

  • Wenchang Xu
  • Yuanchun Shi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6763)

Abstract

Tables are very important carriers of the vast information on the Internet and are widely used in web pages. However, most designs of web tables are only for desktop PCs and just focus on how to visually and logically show large amount of data without considering their visual effects on small-screen devices. Therefore, users suffer inconvenience when browsing web tables on smartphone. In this paper, we propose to enable efficient browsing and manipulation of web tables on smartphone in order to solve the problems of both information retrieval and content replication from web tables. We implemented a mobile web browser on Android 2.1 platform, which deals with web tables in three steps: genuine table detection, table understanding and user interface design. We conducted a user study to test the effects that users used such tool. Experimental results show that the tool increases users’ browsing efficiency of web tables and the novel browsing and manipulation modes are well accepted by users.

Keywords

Web table Table extraction Table understanding Table manipulation User interface design 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Asakawa, C., Itoh, T.: User Interface of a Non-visual Table Navigation Method. In: ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 1999), pp. 214–215 (1999)Google Scholar
  2. 2.
    Cohen, W.W., Hurst, M., Jensen, L.S.: A Flexible Learning System for Wrapping Tables and Lists in HTML Documents. In: 11th International Conference on World Wide Web (WWW 2002), pp. 232–241 (2002)Google Scholar
  3. 3.
    Gaterbauer, W., Bohunsky, P., Herzog, M., Krüpl, B., Pollak, B.: Towards Domain-Independent Information Extraction from Web Tables. In: 16th International Conference on World Wide Web (WWW 2007), pp. 71–80 (2007)Google Scholar
  4. 4.
    Hassan, T., Baumgartner, R.: Table Recognition and Understanding from PDF Files. In: 9th International Conference on Document Analysis and Recognition (ICDAR 2007), pp. 1143–1147 (2007)Google Scholar
  5. 5.
    Hurst, M.: Classifying TABLE Elements in HTML. In: 11th International Conference on World Wide Web (WWW 2002), Poster Paper (2002)Google Scholar
  6. 6.
    Krüpl, B., Herzog, M.: Visually Guided Bottom-Up Table Detection and Segmentation in Web Documents. In: 15th International Conference on World Wide Web (WWW 2006), pp. 933–934 (2006)Google Scholar
  7. 7.
    Lim, S.J., Ng, Y.K.: An Automated Approach for Retrieving Hierarchical Data from HTML Tables. In: 8th ACM International Conference on Information and Knowledge Management (CIKM 1999), pp. 466–474 (1999)Google Scholar
  8. 8.
    Liu, Y., Bai, K., Mitra, P., Giles, C.L.: Automatic Searching of Tables in Digital Libraries. In: 16th International Conference on World Wide Web (WWW 2007), pp. 1135–1136 (2007)Google Scholar
  9. 9.
    Pinto, D., McCallum, A., Wei, X., Croft, W.B.: Table Extraction Using Conditional Random Fields. In: 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2003), pp. 235–242 (2003)Google Scholar
  10. 10.
    Ramel, J.Y., Crucianu, M., Vincent, N., Faure, C.: Detection, Extraction and Representation of Tables. In: 7th International Conference on Document Analysis and Recognition (ICDAR 2003), pp. 374–378 (2003)Google Scholar
  11. 11.
  12. 12.
    Tajima, K., Ohnishi, K.: Browsing Large HTML Tables on Small Screens. In: Proceedings of UIST, pp. 259–268 (2008)Google Scholar
  13. 13.
    Wang, Y.L., Hu, J.Y.: A Machine Learning Based Approach for Table Detection on the Web. In: Proceedings of the 11th International Conference on World Wide Web (WWW 2002), pp. 242–250 (2002)Google Scholar
  14. 14.
    Xu, W., Yang, X., Shi, Y.: A New Mode of Browsing Web Tables on Small Screens. In: Proceedings of UCS, pp. 75–79 (2009)Google Scholar
  15. 15.
    Yang, X., Xu, W., Shi, Y.: Enabling Interactive Access to Web Tables. In: HCII 2009, pp. 760–768 (2009)Google Scholar
  16. 16.
    Yang, Y.C., Luk, W.S.: A Framework for Web Table Mining. In: 4th ACM CIKM International Workshop on Web Information and Data Management (WIDM 2002), pp. 36–42 (2002)Google Scholar
  17. 17.
    Yoshida, M., Torisawa, K., Tsujii, J.: A Method to Integrate Tables of the World Wide Web. In: 1st International Workshop on Web Document Analysis (WDA 2001), pp. 31–34 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Wenchang Xu
    • 1
  • Yuanchun Shi
    • 1
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingP.R. China

Personalised recommendations