DocumentCode
2938120
Title
Schema Reasoning and Semantic Representation for Citation Semantic Link Network
Author
Chen, Weiling ; Yin, Shiqun ; Qiu, Yuhui
Author_Institution
Fac. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
Volume
3
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
366
Lastpage
369
Abstract
Citation network lacks the semantics and can not reason. At present, research on citation network has mostly used scientometrics method combined with statistical physics and social network analysis approach to research and analyze citation network structure. The limited citation information is acquired, however, and efficiency is not high. In order to sufficiently and efficiently acquire citation information, we propose the schema of citation semantic link network (CSLN) by combining semantic link network with citation network. Schema of CSLN not only makes citation networks to have semantics and reasoning ability, but also can gain the potential citation semantic link in network and the new semantic relationship between references according to citation semantic link reasoning rules. Schema of CSLN provides a more efficient method than the traditional schema for the searching and retrieval of citation network and the research of complex networks.
Keywords
citation analysis; inference mechanisms; semantic networks; citation information; citation network structure; citation semantic link network; citation semantic link reasoning rules; reasoning ability; schema reasoning; scientometrics method; semantic representation; social network analysis approach; statistical physics; Application software; Citation analysis; Complex networks; Computer networks; Humans; Information science; Information technology; Intelligent networks; Physics; Social network services; CSLN; citation network; reasoning; semantic; semantic link network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.445
Filename
5370621
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