Finding algorithms in scientific articles

Sumit Bhatia, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on World Wide Web, WWW '10
Pages1061-1062
Number of pages2
DOIs
Publication statusPublished - 20 Jul 2010
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: 26 Apr 201030 Apr 2010

Publication series

NameProceedings of the 19th International Conference on World Wide Web, WWW '10

Other

Other19th International World Wide Web Conference, WWW2010
CountryUnited States
CityRaleigh, NC
Period26/4/1030/4/10

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Keywords

  • algorithms
  • pseudocodes
  • vertical search engines

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Bhatia, S., Mitra, P., & Giles, C. L. (2010). Finding algorithms in scientific articles. In Proceedings of the 19th International Conference on World Wide Web, WWW '10 (pp. 1061-1062). (Proceedings of the 19th International Conference on World Wide Web, WWW '10). https://doi.org/10.1145/1772690.1772804