DocumentCode :
3316859
Title :
The statistic properties of Chinese semantic network in HowNet
Author :
Tang, Lu ; Zhang, Y.G. ; Fu, Xue
Author_Institution :
Inst. of Syst. Sci., Chinese Acad. of Sci., Beijing, China
fYear :
2005
fDate :
30 Oct.-1 Nov. 2005
Firstpage :
58
Lastpage :
61
Abstract :
We extract a network from HowNet, a semantic network based on relations of concept explanations, and calculate its statistic properties. We found it is a complex network with features of small-world and scale-free. Structure of semantic networks based on neighboring words in sentence, conceptual similarity and association also have features of small-world and scale-free. Most exponents of power law degree distribution of these networks have values near 3. This property leads to speculations that the evolving mechanism of these networks is preferential attachment. But our result shows the exponent of HowNet power law degree distribution is near 1, different from most of complex networks evolving by preferential attachment. This feature reminds us there are other factors besides preferential attachment needed to be taken into account. We speculate that aggregation is an important mechanism in the development of conceptual networks.
Keywords :
natural languages; semantic networks; Chinese semantic network; HowNet; power law degree distribution; statistic property; Complex networks; Content addressable storage; Humans; Intelligent networks; Knowledge based systems; Mathematics; Mechanical factors; Phylogeny; Statistical distributions; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
Type :
conf
DOI :
10.1109/NLPKE.2005.1598707
Filename :
1598707
Link To Document :
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