Improving algorithm search using the algorithm co-citation network

Suppawong Tuarob, Prasenjit Mitra, C. Lee Giles

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

12 Citations (Scopus)

Abstract

Algorithms are an essential part of computational science. An algorithm search engine, which extracts pseudo-codes and their metadata from documents, and makes it searchable, has recently been developed as part of the CiteseerX suite. However, this algorithm search engine only retrieves and ranks relevant algorithms solely on textual similarity. Here, we propose a method for using the algorithm co-citation network to infer the similarity between algorithms. We apply a graph clustering algorithm on the network for algorithm recommendation and make suggestions on how to improve the current CiteseerX algorithm search engine.

Original languageEnglish
Title of host publicationProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Pages277-280
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 - Washington, DC
Duration: 10 Jun 201214 Jun 2012

Other

Other12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12
CityWashington, DC
Period10/6/1214/6/12

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Keywords

  • algorithm co-citation network
  • algorithms
  • clustering

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Tuarob, S., Mitra, P., & Giles, C. L. (2012). Improving algorithm search using the algorithm co-citation network. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (pp. 277-280) https://doi.org/10.1145/2232817.2232869