skip to main content
10.1145/1772690.1772804acmotherconferencesArticle/Chapter ViewAbstractPublication PageswwwConference Proceedingsconference-collections
poster

Finding algorithms in scientific articles

Authors Info & Claims
Published:26 April 2010Publication History

ABSTRACT

Algorithms are an integral part of computer science literature. However, none of the current search engines offer specialized algorithm search facility. We describe a vertical search engine that identifies the algorithms present in documents and extracts and indexes the related metadata and textual description of the identified algorithms. This algorithm specific information is then utilized for algorithm ranking in response to user queries. Experimental results show the superiority of our system on other popular search engines.

References

  1. S. Bhatia, S. Lahiri, and P. Mitra. Generating synopses for document-element search. In CIKM '09, pages 2003--2006, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein. Introduction to Algorithms. MIT Press, Cambridge, MA, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Finding algorithms in scientific articles

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      WWW '10: Proceedings of the 19th international conference on World wide web
      April 2010
      1407 pages
      ISBN:9781605587998
      DOI:10.1145/1772690

      Copyright © 2010 Copyright is held by the author/owner(s)

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2010

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate1,899of8,196submissions,23%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    ePub

    View this article in ePub.

    View ePub