Title :
Document similarity calculation model of CSLN
Author :
Weiling Chen ; Gang Wang ; Fengxia Yin
Author_Institution :
Dept. of Comput., Creation Vocational Coll., Chongqing, China
Abstract :
CSLN is a citation semantic link network with semantic representation and reasoning abilities. The documents in citation semantic link network (CSLN) is a set of many objects. The similarity calculation of a single object can´t accurately calculate the document similarity of citation semantic link network. This paper analyzes in depth the characteristics of each part of the document, and puts forward the document similarity calculation model of the citation semantic link network. This model not only improves the accuracy of document similarity calculation of the citation semantic link network, but also lays a foundation for the community discovery of citation semantic link network and the hot prediction of research.
Keywords :
citation analysis; document handling; inference mechanisms; semantic networks; vectors; CSLN; VSM; citation semantic link network; document similarity calculation model; reasoning abilities; semantic representation; vector space model; Analytical models; Cognition; Communities; Computational modeling; Mathematical model; Semantics; Vectors; CSLN; complex network; similarity calculation;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933701
