Document similarity calculation model of CSLN

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.

[1]  Gang Wang,et al.  Community Discovery Algorithm of Citation Semantic Link Network , 2013, 2013 Sixth International Symposium on Computational Intelligence and Design.

[2]  Per O. Seglen,et al.  The Skewness of Science , 1992, J. Am. Soc. Inf. Sci..

[3]  S. Redner.  How popular is your paper? An empirical study of the citation distribution , 1998, cond-mat/9804163.

[4]  Xiang Li,et al.  Peer-to-Peer in Metric Space and Semantic Space , 2007, IEEE Transactions on Knowledge and Data Engineering.

[5]  Alexander P. Pons.  Object prefetching using semantic links , 2006, DATB.

[6]  D. Sornette,et al.  Stretched exponential distributions in nature and economy: “fat tails” with characteristic scales , 1998, cond-mat/9801293.

[7]  Hai Zhuge,et al.  Retrieve images by understanding semantic links and clustering image fragments , 2004, J. Syst. Softw..

[8]  Hai Zhuge,et al.  Schema Theory for Semantic Link Network , 2008, 2008 Fourth International Conference on Semantics, Knowledge and Grid.

[9]  Gang Wang,et al.  Research on similarity calculation of citation semantic link network , 2012, 2012 IEEE International Conference on Computer Science and Automation Engineering.

[10]  Yuhui Qiu,et al.  Schema Reasoning and Semantic Representation for Citation Semantic Link Network , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[11]  Hai Zhuge,et al.  Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning , 2009, IEEE Transactions on Knowledge and Data Engineering.

[12]  Hai Zhuge,et al.  Active e-document framework ADF: model and tool , 2003, Inf. Manag..