Web Co-citation: Discovering Relatedness Between Scientific Papers

Abstract : In this paper we review two well-known citation methods to find relatedness between scientific papers: co-citation and bibliographic coupling. We propose a practical method to estimate the co-citation relatedness using the Google search engine. We call this method Web co-citation. We conducted experiments on a collection of scientific papers to compare the performances of different methods. The experimental results show that our approach, despite its simplicity, is efficient in discovering the relatedness between scientific papers.
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Chapitre d'ouvrage
Wegrzyn-Wolska, Katarzyna : Szczepaniak, Piotr. Advances in Intelligent Web Mastering, Springer Berlin / Heidelberg, p 343 - 348, 2007, 〈10.1007/978-3-540-72575-6_55〉
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https://hal-emse.ccsd.cnrs.fr/emse-00680438
Contributeur : Florent Breuil <>
Soumis le : lundi 19 mars 2012 - 14:50:12
Dernière modification le : mardi 23 octobre 2018 - 14:36:08

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Thanh Trung Van, Michel Beigbeder. Web Co-citation: Discovering Relatedness Between Scientific Papers. Wegrzyn-Wolska, Katarzyna : Szczepaniak, Piotr. Advances in Intelligent Web Mastering, Springer Berlin / Heidelberg, p 343 - 348, 2007, 〈10.1007/978-3-540-72575-6_55〉. 〈emse-00680438〉

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