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A link-based visual search engine for Wikipedia

Published:13 June 2011Publication History

ABSTRACT

This paper introduces HMpara, a new search engine that aims to make Wikipedia easier to explore. It works on top of the encyclopedia's existing link structure, abstracting away from document content and allowing users to navigate the resource at a higher level. It utilizes semantic relatedness measures to emphasize articles and connections that are most likely to be of interest, visualization to expose the structure of how the available information is organized, and lightweight information extraction to explain itself.

References

  1. Anonymous (2011) The ACM Digital Library. Retrieved January 2011 from http://librarians.acm.org/digital-libraryGoogle ScholarGoogle Scholar
  2. Biuk-Aghai, R.P. (2006) Visualizing co-authorship networks in online Wikipedia. In Proceedings of ISCIT 2006, Bangkok, Thailand.Google ScholarGoogle ScholarCross RefCross Ref
  3. Chen, C. and Yu, Y. (2000) Empirical studies of information visualization: a meta-analysis, In International Journal of Human Computer Studies 53(5), 851--866. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Fayyad, U.M., Grinstein, G.G. and Wierse, A. (2002) Information visualization in data mining and knowledge discovery. San Francisco, CA: Morgan Kaufmann. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Hearst, M.A. (2009) Search User Interfaces. New York, NY: Cambridge University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Hirsch, C., Hosking, J. and Grundy, J. (2009a) Interactive Visualization Tools for Exploring the Semantic Graph of Large Knowledge Spaces. In Proceedings of VISSW 2009, Sanibel Island, FL.Google ScholarGoogle Scholar
  7. Hirsch, C., Hosking, J., Grundy, J., Chaffe, T., MacDonald, D. and Halytskyy, Y. (2009b) The Visual Wiki: A New Metaphor for Knowledge Access and Management. In Proceedings of HICSS 2009, Hawaii. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Nielsen, J. and Lyngbzek, U. (1989) Two Field Studies of Hypermedia usability. In Proceedings of Hypertext II, York, UK.Google ScholarGoogle Scholar
  9. Nunes, S. and Ribeiro, C. and David, G. (2008) Wikichanges-exposing Wikipedia revision activity. In Proceedings of WikiSym 2008, Porto, Portugal. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Wattenberg, M., Viégas, F.B. and Hollenbach, K. (2007) Visualizing activity on Wikipedia with chromograms. In Proceedings of INTERACT 2007, Rio de Janeiro, Brazil Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
        June 2011
        500 pages
        ISBN:9781450307444
        DOI:10.1145/1998076

        Copyright © 2011 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 June 2011

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