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 - 2010
Externally publishedYes
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC
Duration: 26 Apr 201030 Apr 2010

Other

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

Fingerprint

Search engines
Metadata
Computer science

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) https://doi.org/10.1145/1772690.1772804

Finding algorithms in scientific articles. / Bhatia, Sumit; Mitra, Prasenjit; Giles, C. Lee.

Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. p. 1061-1062.

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

Bhatia, S, Mitra, P & Giles, CL 2010, Finding algorithms in scientific articles. in Proceedings of the 19th International Conference on World Wide Web, WWW '10. pp. 1061-1062, 19th International World Wide Web Conference, WWW2010, Raleigh, NC, 26/4/10. https://doi.org/10.1145/1772690.1772804
Bhatia S, Mitra P, Giles CL. Finding algorithms in scientific articles. In Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. p. 1061-1062 https://doi.org/10.1145/1772690.1772804
Bhatia, Sumit ; Mitra, Prasenjit ; Giles, C. Lee. / Finding algorithms in scientific articles. Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. pp. 1061-1062
@inproceedings{8bc5c659504249c1af1d59ea75f780a6,
title = "Finding algorithms in scientific articles",
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.",
keywords = "algorithms, pseudocodes, vertical search engines",
author = "Sumit Bhatia and Prasenjit Mitra and Giles, {C. Lee}",
year = "2010",
doi = "10.1145/1772690.1772804",
language = "English",
isbn = "9781605587998",
pages = "1061--1062",
booktitle = "Proceedings of the 19th International Conference on World Wide Web, WWW '10",

}

TY - GEN

T1 - Finding algorithms in scientific articles

AU - Bhatia, Sumit

AU - Mitra, Prasenjit

AU - Giles, C. Lee

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - algorithms

KW - pseudocodes

KW - vertical search engines

UR - http://www.scopus.com/inward/record.url?scp=77954574308&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954574308&partnerID=8YFLogxK

U2 - 10.1145/1772690.1772804

DO - 10.1145/1772690.1772804

M3 - Conference contribution

SN - 9781605587998

SP - 1061

EP - 1062

BT - Proceedings of the 19th International Conference on World Wide Web, WWW '10

ER -