Document similarity calculation model of CSLN

Author

Weiling Chen ; Gang Wang ; Fengxia Yin

Author_Institution

Dept. of Comput., Creation Vocational Coll., Chongqing, China

fYear

2014

fDate

27-29 June 2014

Firstpage

859

Lastpage

862

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on

Conference_Location

Beijing

ISSN

2327-0586

Print_ISBN

978-1-4799-3278-8

Type

conf

DOI

10.1109/ICSESS.2014.6933701

Filename

6933701