Finding algorithms in scientific articles

Sumit Bhatia; Prasenjit Mitra; C. Lee Giles

doi:10.1145/1772690.1772804

Finding algorithms in scientific articles

Sumit Bhatia, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

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 language	English (US)
Title of host publication	Proceedings of the 19th International Conference on World Wide Web, WWW '10
Pages	1061-1062
Number of pages	2
DOIs	https://doi.org/10.1145/1772690.1772804
State	Published - 2010
Event	19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States Duration: Apr 26 2010 → Apr 30 2010

Other

Other	19th International World Wide Web Conference, WWW2010
Country	United States
City	Raleigh, NC
Period	4/26/10 → 4/30/10

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications

Access to Document

10.1145/1772690.1772804

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Cite this

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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.",

author = "Sumit Bhatia and Prasenjit Mitra and Giles, {C. Lee}",

year = "2010",

doi = "10.1145/1772690.1772804",

language = "English (US)",

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AU - Mitra, Prasenjit

AU - Giles, C. Lee

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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.

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M3 - Conference contribution

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

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