Automatic knowledge organization
Geography in Wikipedia
DOI:
https://doi.org/10.54886/scire.v25i2.4642Keywords:
Automatic knowledge organization, Wikipedia, Geography, Social network analysis techniquesAbstract
The Information Technologies drive an unprecedented growth of information, which raises the problem of the organization of it. As it is digital information, it is possible to approach her organization through automated procedures. On the other hand, Network Analysis Techniques are a powerful tool that allows us to model different phenomena and then apply automatic techniques. In this paper we describe the application of these Network Analysis Techniques to model and process an important number of documents, such as the one constituted by Wikipedia articles. The subsequent application of community detection algorithms allows grouping the articles based on their hyperlinks and their thematic affinity. This work focuses, after having applied these techniques, on the geographical relationship of the articles, on their network communities and the connections between them.
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Copyright (c) 2019 Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
