Discovering related scientific literature beyond semantic similarity: a new co-citation approach

Rodriguez-Prieto, Oscar, Araujo, Lourdes y Martínez-Romo, Juan . (2019) Discovering related scientific literature beyond semantic similarity: a new co-citation approach. Scientometrics

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Título Discovering related scientific literature beyond semantic similarity: a new co-citation approach
Autor(es) Rodriguez-Prieto, Oscar
Araujo, Lourdes
Martínez-Romo, Juan
Materia(s) Ingeniería Informática
Abstract We propose a new approach to recommend scientific literature, a domain in which the efficient organization and search of information is crucial. The proposed system relies on the hypothesis that two scientific articles are semantically related if they are co-cited more frequently than they would be by pure chance. This relationship can be quantified by the probability of co-citation, obtained from a null model that statistically defines what we consider pure chance. Looking for article pairs that minimize this probability, the system is able to recommend a ranking of articles in response to a given article. This system is included in the co-occurrence paradigm of the field. More specifically, it is based on co-cites so it can produce recommendations more focused on relatedness than on similarity. Evaluation has been performed on the ACL Anthology collection and on the DBLP dataset, and a new corpus has been compiled to evaluate the capacity of the proposal to find relationships beyond similarity. Results show that the system is able to provide, not only articles similar to the submitted one, but also articles presenting other kind of relations, thus providing diversity, i.e. connections to new topics.
Palabras clave Scientific related literature
recommendations
co-citation
statistical model
semantic similarity
Editor(es) Springer
Fecha 2019-05-17
Formato application/pdf
Identificador bibliuned:DptoLSI-ETSI-Articulos-Laraujo-0003
http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Articulos-Laraujo-0003
DOI - identifier https://doi.org/10.1007/s11192-019-03125-9
ISSN - identifier 0138-9130; eISSN: 1588-2861
Nombre de la revista Scientometrics
Número de Volumen 120
Página inicial 105
Página final 127
Publicado en la Revista Scientometrics
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
Tipo de acceso Acceso abierto
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Scientometrics (2019) 120, p. 105–127, está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s11192-019-03125-9
Notas adicionales The registered version of this article, first published in Scientometrics (2019) 120, p. 105–127, is available online at the publisher's website: Springer, https://doi.org/10.1007/s11192-019-03125-9

 
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Creado: Fri, 22 Mar 2024, 22:39:34 CET