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
Link To Document :
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