Difference between revisions of "Extracting the Main Path of Historic Events from Wikipedia"

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[[Category:Scientific works]]

Latest revision as of 12:47, 8 May 2020


Extracting the Main Path of Historic Events from Wikipedia
Authors
Benjamin Cabrera
Barbara König
Publication date
2017
DOI
10.1007/978-3-319-90312-5_5
Links
Original

Extracting the Main Path of Historic Events from Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Benjamin Cabrera and Barbara König.

Overview

The large online encyclopedia “Wikipedia” has become a valuable information resource. However, its large size and the interconnectedness of its pages can make it easy to get lost in detail and difficult to gain a good overview of a topic. As a solution authors propose a procedure to extract, summarize, and visualize large categories of historic Wikipedia articles. At the heart of this procedure authors apply the method of main path analysis—originally developed for citation networks—to a modified network of linked Wikipedia articles. Beside the aggregation method itself, authors describe data mining process of the Wikipedia datasets and the considerations that guided the visualization of the article networks. Finally, authors present web app that allows to experiment with the procedure on an arbitrary Wikipedia category.

Embed

Wikipedia Quality

Cabrera, Benjamin; König, Barbara. (2017). "[[Extracting the Main Path of Historic Events from Wikipedia]]". Springer, Cham. DOI: 10.1007/978-3-319-90312-5_5.

English Wikipedia

{{cite journal |last1=Cabrera |first1=Benjamin |last2=König |first2=Barbara |title=Extracting the Main Path of Historic Events from Wikipedia |date=2017 |doi=10.1007/978-3-319-90312-5_5 |url=https://wikipediaquality.com/wiki/Extracting_the_Main_Path_of_Historic_Events_from_Wikipedia |journal=Springer, Cham}}

HTML

Cabrera, Benjamin; König, Barbara. (2017). &quot;<a href="https://wikipediaquality.com/wiki/Extracting_the_Main_Path_of_Historic_Events_from_Wikipedia">Extracting the Main Path of Historic Events from Wikipedia</a>&quot;. Springer, Cham. DOI: 10.1007/978-3-319-90312-5_5.