[1] Tang Lu, , Zhang Yongguang, et al. Structures of semantic networks:how do we learn semantic knowledge [J]. Journal of Southeast University (English Edition), 2006, 22 (3): 413-417. [doi:10.3969/j.issn.1003-7985.2006.03.026]

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Structures of semantic networks:how do we learn semantic knowledge()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

22

Issue:

2006 3

Page:

413-417

Research Field:

Automation

Publishing date:

2006-09-30

Info

Title:

Structures of semantic networks:how do we learn semantic knowledge

Author(s):

Tang Lu¹;  2;  4;  Zhang Yongguang¹;  Fu Xue¹;  2;  3

¹Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China
²Graduate School, Chinese Academy of Sciences, Beijing 100080, China
³School of Banking and Public Finance, Jiangxi University of Finance, Nanchang 330013, China
⁴Bussiness School, University of Shanghai for Science and Technology, Shanghai 200093, China

Keywords:

semantic networks;  complex networks;  small-world;  scale-free;  hierarchical organization

PACS:

TP182

DOI:

10.3969/j.issn.1003-7985.2006.03.026

Abstract:

Global semantic structures of two large semantic networks, HowNet and WordNet, are analyzed.It is found that they are both complex networks with features of small-world and scale-free, but with special properties.Exponents of power law degree distribution of these two networks are between 1.0 and 2.0, different from most scale-free networks which have exponents near 3.0.Coefficients of degree correlation are lower than 0, similar to biological networks.The BA(Barabasi-Albert)model and other similar models cannot explain their dynamics.Relations between clustering coefficient and node degree obey scaling law, which suggests that there exist self-similar hierarchical structures in networks.The results suggest that structures of semantic networks are influenced by the ways we learn semantic knowledge such as aggregation and metaphor.

References:

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Memo

Memo:

Biographies: Tang Lu(1977—), male, graduate;Zhang Yongguang(corresponding author), male, professor, yzhang@iss.ac.cn.

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