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Semi-automatic generation of a corpus of Wikipedia articles on science and technology

Bibliographic Data

ID12625181
AuthorsJulià Minguillón (0000-0002-0080-846X, corresponding author), Maura Lerga Felip (0000-0002-3516-0931), Maura Lerga, Eduard Aibar Puentes (0000-0002-1727-1523), Eduard Aibar, Josep Lladós‐Masllorens (0000-0002-6236-5166), Josep Lladós-Masllorens, Antoni Meseguer-Artola (0000-0002-7817-3695)
Year2017
Volume26
Issue5
Pages995-995
Publication date2017-09-14
Open AccessYes
TypeARTICLE
VenueEl Profesional de la Informacion (JOURNAL)
Journal identifiersISSN: 1386-6710 • E-ISSN: 1699-2407
PublisherEdiciones Profesionales de la Informacion SL (PUBLISHER)
DOI10.3145/epi.2017.sep.20
OpenAlexW2755604548
LanguageEN
Citations received3
References cited11

Despite the huge amount of scientific and technological content available on the World Wide Web, most of it is closed behind paywalls, as with academic journals, or almost invisible, as with institutional repositories. Wikipedia can act as a chain-transfer agent, providing people with an accessible, organized structure containing both understandable content and links to original sources. In Wikipedia, categories are collaboratively created and thus become a folksonomy rather than a true taxonomy. Consequently, categories are not a reliable tool to identify topics' organization. In this paper we describe a semi-automatic method, based on random walks, for determining a subset of pages containing scientific and technological content in the Spanish Wikipedia. Using the Unesco taxonomy, we determined the underlying graph structure of our corpus and detected clusters of pages strongly linked, establishing relationships between knowledge domains. Finally, we present the distribution of Wikipedia articles according to the Unesco taxonomy and the resulting map of scientific and technological content

Art · Humanities · Political science · Wikis in Education and Collaboration

  • Wikinformetrics

    Open Access•Wenceslao Arroyo‐Machado, Daniel Torres‐Salinas et al.•Quantitative Science Studies•2022

  • Academic impact and perceived value of Wikipedia as a primary learning resource in higher education

    Open Access•Antoni Meseguer-Artola, Inma Rodríguez-Ardura et al.•El Profesional de la Informacion•2020

  • Uso de Wikidata y Wikipedia para la generación asistida de un vocabulario estructurado multilingüe sobre la pandemia de Covid-19

    Open Access•Teresa Sandra Pérez, Juan-Antonio Pastor-Sánchez et al.•El Profesional de la Informacion•2020

  • Maps of random walks on complex networks reveal community structure

    Open Access•Martin Rosvall, Carl T Bergstrom•Proceedings of the National…•2008

  • Community detection algorithms

    Open Access•Andrea Lancichinetti, Santo Fortunato•Physical Review E•2009

  • Computing Communities in Large Networks Using Random Walks

    Pascal Pons, Matthieu Latapy•Computer and Information Sciences…•2005

  • Computing Communities in Large Networks Using Random Walks

    Open Access•Pascal Pons, Matthieu Latapy•Journal of Graph Algorithms and…•2006

  • Exploring complex networks

    Open Access•Steven H Strogatz•Nature•2001

  • Emergence of Scaling in Random Networks

    Open Access•Albert-László Barabási, Richard Albert et al.•Science•1999

  • Wikipedia como vocabulario controlado

    Open Access•Jesús Jiménez-Pelayo•El Profesional de la Informacion•2009

  • Nomenclatura Unesco

    Open Access•Juana-María Ruiz-Martínez, María-José Baños-Moreno et al.•El Profesional de la Informacion•2014

  • An Analysis of Topical Coverage of Wikipedia

    Open Access•Alexander Halavais, Derek Lackaff•Journal of Computer-Mediated…•2008

  • Classifying science and technology

    Jesus Martinez-Frias, Jesús Martínez‐Frías et al.•Interdisciplinary Science Reviews•2007

  • Need to Categorize

    Almila Akdag Salah, Alkım Almila Akdağ Salah et al.•Leonardo•2012

Citations per year0.5
Citation span2020 - 2022 (3)
Highly citedNo

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Open DOIOpen Access
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