Estimating the Quality of Articles in Russian Wikipedia Using the Logical-Linguistic Model of Fact Extraction

Nina Khairova , Włodzimierz Lewoniewski , Krzysztof Węcel


We present the method of estimating the quality of articles in Russian Wikipedia that is based on counting the number of facts in the article. For calculating the number of facts we use our logical-linguistic model of fact extraction. Basic mathematical means of the model are logical-algebraic equations of the finite predicates algebra. The model allows extracting of simple and complex types of facts in Russian sentences. We experimentally compare the effect of the density of these types of facts on the quality of articles in Russian Wikipedia. Better articles tend to have a higher density of facts.
Author Nina Khairova
Nina Khairova,,
, Włodzimierz Lewoniewski (WIiGE / KIE)
Włodzimierz Lewoniewski,,
- Department of Information Systems
, Krzysztof Węcel (WIiGE / KIE)
Krzysztof Węcel,,
- Department of Information Systems
Publication size in sheets0.6
Book Abramowicz Witold (eds.): Business Information Systems 20th International Conference, BIS 2017 Poznan, Poland, June 28–30, 2017 Proceedings, Lecture Notes in Business Information Processing, vol. 288, 2017, Springer, ISBN 978-3-319-59335-7, [978-3-319-59336-4], 352 p.
Keywords in EnglishRussian Wikipedia, Article quality, Fact extraction, Logical equations
ASJC Classification1802 Information Systems and Management; 2611 Modelling and Simulation; 1710 Information Systems; 1403 Business and International Management; 2207 Control and Systems Engineering; 1404 Management Information Systems
Languageen angielski
Score (nominal)70
Score sourceconferenceList
ScoreMinisterial score = 70.0, 25-03-2020, ChapterFromConference
Publication indicators WoS Citations = 5
Citation count*10 (2020-10-30)
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