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A method for refining a taxonomy by using annotated suffix trees and wikipedia resources
Abstract A two-step approach to taxonomy constructiA two-step approach to taxonomy construction is presented. On the first step the frame of taxonomy is built manually according to some representative educational materials. On the second step, the frame is refined using the Wikipedia category tree and articles. Since the structure of Wikipedia is rather noisy, a procedure to clear the Wikipedia category tree is suggested. A string-to-text relevance score, based on annotated suffix trees, is used several times to 1) clear the Wikipedia data from noise; 2) to assign Wikipedia categories to taxonomy topics; 3) to choose whether the category should be assigned to the taxonomy topic or stay on intermediate levels. The resulting taxonomy consists of three parts: the manully set upper levels, the adopted Wikipedia category tree and the Wikipedia articles as leaves. Also, a set of so-called descriptors is assigned to every leaf; these are phrases explaining aspects of the leaf topic. The method is illustrated by its application to two domains: a) Probability theory and mathematical statistics, b) "Numerical analysis" (both in Russian). © 2014 Published by Elsevier B.V.ussian). © 2014 Published by Elsevier B.V.
Abstractsub A two-step approach to taxonomy constructiA two-step approach to taxonomy construction is presented. On the first step the frame of taxonomy is built manually according to some representative educational materials. On the second step, the frame is refined using the Wikipedia category tree and articles. Since the structure of Wikipedia is rather noisy, a procedure to clear the Wikipedia category tree is suggested. A string-to-text relevance score, based on annotated suffix trees, is used several times to 1) clear the Wikipedia data from noise; 2) to assign Wikipedia categories to taxonomy topics; 3) to choose whether the category should be assigned to the taxonomy topic or stay on intermediate levels. The resulting taxonomy consists of three parts: the manully set upper levels, the adopted Wikipedia category tree and the Wikipedia articles as leaves. Also, a set of so-called descriptors is assigned to every leaf; these are phrases explaining aspects of the leaf topic. The method is illustrated by its application to two domains: a) Probability theory and mathematical statistics, b) "Numerical analysis" (both in Russian). © 2014 Published by Elsevier B.V.ussian). © 2014 Published by Elsevier B.V.
Bibtextype inproceedings  +
Doi 10.1016/j.procs.2014.05.260  +
Has author Chernyak E. + , Mirkin B. +
Has keyword String-to-text relevance + , Suffix trees + , Taxonomy refinement + , Utilizing Wikipedia +
Issn 18770509  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 193–200  +
Published in Procedia Computer Science +
Title A method for refining a taxonomy by using annotated suffix trees and wikipedia resources +
Type conference paper  +
Volume 31  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 17:09:50  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 17:09:50  +
DateThis property is a special property in this wiki. 2014  +
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A method for refining a taxonomy by using annotated suffix trees and wikipedia resources + Title
 

 

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