DocumentCode :
598564
Title :
Horizontal Search Method for Wikipedia Category Grouping
Author :
Myunggwon Hwang ; Kim, D.J. ; Do-Heon Jeong ; Sa-kwang Song ; Hanmin Jung ; Hoon Ko
Author_Institution :
Korea Inst. of Sci. & Technol. Inf. KISTI, Daejeon, South Korea
fYear :
2012
fDate :
20-23 Nov. 2012
Firstpage :
717
Lastpage :
721
Abstract :
Category hierarchies, which show the basic relationship between concepts, are utilized as fundamental clues for semantic information processing in diverse research fields. These research works have employed Wikipedia due to its high coverage of real-world concepts and data reliability. Wikipedia also constructs a category hierarchy, and defines various categories according to the common characteristics of a concept. However, some limitations have been uncovered in the use of a vertical search (especially top-down) to form a set of domain categories. In order to overcome these limitations, this paper proposes a horizontal search method, and uses Wikipedia components to measure the similarity between categories. In an experimental evaluation, we confirm that our method shows a wide coverage and high precision for similar (domain) category grouping.
Keywords :
Web sites; information retrieval; search problems; category hierarchy; category similarity; data reliability; domain categories; horizontal search method; semantic information processing; similar category grouping; similar domain grouping; wikipedia category grouping; Electronic publishing; Encyclopedias; Search methods; Semantic Web; Semantics; Wikipedia category; category grouping; horizontal search; similarity measure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2012 IEEE International Conference on
Conference_Location :
Besancon
Print_ISBN :
978-1-4673-5146-1
Type :
conf
DOI :
10.1109/GreenCom.2012.117
Filename :
6468397
Link To Document :
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