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New Technology of Library and Information Service  2012, Vol. Issue (9): 56-61    DOI: 10.11925/infotech.1003-3513.2012.09.10
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Research on Enterprise Competitiveness Factor Analysis Combining Semantic Classification
Zhang Yufeng, He Chao, Wang Zhifang, Zhou Lei
Center for Studies of Information Resources of Wuhan University, Wuhan 430072, China
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Abstract  This paper integrates classification analysis into the acquisition and optimization of enterprise competitiveness factors, designs an analysis frame of enterprise competitiveness factors based on domain Ontology according to the software enterprise domain Ontology constructed by the research team and proposes a semantic classification method Onto-TC. This method combines domain Ontology and general Ontology to achieve classification analysis at multi-semantic level. This paper analyzes and mines the deep major factors of competitiveness according to the clustering and classification results, implements the construction and optimization of enterprise competitiveness factor indices system.
Key wordsSemantic classification      Factor analysis      Enterprise competitiveness     
Received: 19 June 2012      Published: 25 December 2012
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G350

 

Cite this article:

Zhang Yufeng, He Chao, Wang Zhifang, Zhou Lei. Research on Enterprise Competitiveness Factor Analysis Combining Semantic Classification. New Technology of Library and Information Service, 2012, (9): 56-61.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.09.10     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V/I9/56

[1] Camous F, Blott S, Smeaton A F. Ontology-based MEDLINE Document Classification [C]. In: Proceedings of the 1st International Conference on Bioinformatics Research and Development(BIRD’ 07). Berlin: Springer-Verlag, 2007:439-452.
[2] 杨喜权,孙娜,张野,等. DocOnto—一种基于本体的文本分类器[J]. 计算机应用, 2008, 28(S2): 58-64.(Yang Xiquan, Sun Na, Zhang Ye, et al. DocOnto: Ontology-based Text Classifier[J].Journal of Computer Applications, 2008, 28(S2): 58-64.)
[3] 唐歆瑜.基于知网构建化工领域文本分类模型研究[D].长沙: 湖南大学, 2007.(Tang Xinyu. The Research on Conducting Chemical Domain Text Classifier Based on HowNet [D]. Changsha: Hunan University, 2007.)
[4] Janik M, Kochut K J. Wikipedia in Action: Ontological Knowledge in Text Categorization[C].In: Proceedings of the 2008 IEEE International Conference on Semantic Computing(ICSC’08). Washington, DC: IEEE Computer Society, 2008: 268-275.
[5] Yang X Q, Sun N, Zhang Y, et al. General Framework for Text Classification Based on Domain Ontology [C]. In: Proceedings of the 3rd International Workshop on Semantic Media Adaption and Personalization (SMAP’08). Washington, DC: IEEE Computer Society, 2008:147-152.
[6] Wu Z B, Palmer M. Verb Semantics and Lexical Selection [C].In: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistic(ACL’94). Stroudsburg: Association for Computational Linguistics, 1994:133-138.
[7] 王志芳.基于领域本体的文本挖掘算法与实验研究[D].武汉:武汉大学,2011.(Wang Zhifang. Research on Text Mining Algorithm and Experiment Based on Domain Ontology [D]. Wuhan: Wuhan University, 2011.)
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