[1] Salton G, Wong A, Yang C S. A Vector Space Model for Automatic Indexing [J]. Communications of the ACM, 1975, 18(11): 613-620.
[2] Liu G Z. The Semantic Vector Space Model (SVSM): A Text Representation and Searching Technique [C]. In: Proceedings of the 27th Hawaii International Conference on System Science. 1994:928-937.
[3] 杨玉珍, 刘培玉, 姜沛佩. 向量空间模型中结合句法的文本表示研究[J]. 计算机工程, 2011, 37(3): 58-60. (Yang Yuzhen, Liu Peiyu, Jiang Peipei. Research on Text Representation with Combination of Syntactic in Vector Space Model [J]. Computer Engineering, 2011, 37(3): 58-60.)
[4] Chang B, Dho H, Lee Y, et al. Concept Based Learning Contents Retrieval by Using Extended Vector Space Model with Ontology [J]. Information-an International Interdisciplinary Journal, 2012, 15(2): 793-804.
[5] Tasi C, Huang Y, Liu C, et al. Applying VSM and LCS to Develop an Integrated Text Retrieval Mechanism [J]. Expert Systems with Applications, 2012, 39(4): 3974-3982.
[6] Virpioja S, Paukkeri M, Tripathi A, et al. Evaluating Vector Space Models with Canonical Correlation Analysis [J]. Natural Language Engineering, 2012, 18(3): 399-436.
[7] Nasir J A, Varlamis I, Karim A, et al. Semantic Smoothing for Text Clustering [J]. Knowledge-Based Systems, 2012, 54: 216-229.
[8] Sbattella L, Tedesco R. A Novel Semantic Information Retrieval System Based on a Three-level Domain Model [J]. Journal of Systems and Software, 2013, 86(5): 1426-1452.
[9] Liu G Z. Semantic Vector Space Model: Implementation and Evaluation [J]. Journal of the American Society for Information Science, 1997, 48(5): 395-417.
[10] Zadeh P D H, Reformat M Z. Assessment of Semantic Similarity of Concepts Defined in Ontology [J]. Information Sciences, 2013, 250: 21-39.
[11] Bobillo F, Delgado M, Sanchez-Sanchez J C. Parallel Algorithms for Fuzzy Ontology Reasoning [J]. IEEE Transactions on Fuzzy Systems, 2013, 21(4): 775-781.
[12] Turney P D, Pantel P. From Frequency to Meaning: Vector Space Models of Semantics [J]. Journal of Artificial Intelligence Research, 2010, 37(1): 141-188.
[13] 余传明, 张小青, 陈雷. 基于LDA模型的评论热点挖掘:原理与实现[J]. 情报理论与实践, 2010, 33(5): 103-106. (Yu Chuanming, Zhang Xiaoqing, Chen Lei. Mining Hot Topics of User Comment Based on LDA Model: Principle & Approach [J]. Information Studies: Theory & Application, 2010, 33(5): 103-106.)
[14] Maedche A, Staab S. Ontology Learning for the Semantic Web[J]. IEEE Intelligent Systems, 2001, 16(2): 72-79.
[15] 唐明伟, 卞艺杰, 陶飞飞. 基于领域本体的语义向量空间模型[J]. 情报学报, 2011, 30(9): 951-955. (Tang Mingwei, Bian Yijie, Tao Feifei. Semantic Vector Space Model Based on Domain Ontology [J]. Journal of the China Society for Scientific and Technical Information, 2011, 30(9): 951-955.)
[16] Oleshchuk V, Pedersen A. Ontology Based Semantic Similarity Comparison of Documents [C]. In: Proceedings of the 14th International Workshop on Database and Expert Systems Applications. IEEE, 2003: 735-738.
[17] 魏凯斌, 冉延平, 余牛. 语义相似度的计算方法研究与分析[J]. 计算机技术与发展, 2010, 20(7): 102-105. (Wei Kaibin, Ran Yanping, Yu Niu. The Research and Analysis of Computing Methods on Semantic Similarity [J]. Computer Technology and Development, 2010, 20(7): 102-105.)
[18] Sanchez D, Batet M. A Semantic Similarity Method Based on Information Content Exploiting Multiple Ontologies [J]. Expert Systems with Applications, 2013, 40(4): 1393-1399.
[19] Pietranik M, Nguyen N T. Semantic Distance Measure Between Ontology Concept's Attributes [C]. In: Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Berlin, Heidelberg: Springer-Verlag, 2011: 210-219.
[20] Turney P D. Similarity of Semantic Relations [J]. Computational Linguistics, 2006, 32(3): 379-416.
[21] 谭松波, 王月粉. 中文文本分类语料库-TanCorpV1.0 [OL]. [2013-09-10]. http://www.searchforum.org.cn/tansongbo/corpus. htm. (Tan Songbo, Wang Yuefen. The Corpus of Chinese Text Classification- TanCorpV1.0 [OL]. [2013-09-10]. http://www. searchforum.org.cn/tansongbo/corpus.htm.)
[22] 中国科学院计算技术研究所. ICTCLAS2011[EB/OL]. [2013-09-21]. http://ictclas.org/ictclas_download.aspx. (Institute of Computing Technology, Chinese Academy of Sciences. ICTCLAS2011[EB/OL]. [2013-09-21]. http://ictclas.org/ictclas_ download.aspx.)
[23] 求TanCorp的文档向量[EB/OL]. [2014-03-10]. http://www. cnblogs.com/zhangchaoyang/articles/2355397.html. (Calculate the Text Vector from TanCorp [EB/OL]. [2014-03-10]. http://www.cnblogs.com/zhangchaoyang/articles/2355397.html.)
[24] Tsang I W, Kocsor A, Kwok J T. LibCVM Toolkit Version: 2.2 (beta)[EB/OL]. [2011-08-29]. http://c2inet.sce.ntu.edu.sg/ ivor/cvm.html.
[25] Y?ld?r?m E A. Two Algorithms for the Minimum Enclosing Ball Problem [J]. SIAM Journal on Optimization, 2008, 19(3): 1368-1391.
[26] Sebastiani F. Machine Learning in Automated Text Categorization [J]. ACM Computing Surveys, 2002, 34(1): 1-47.
[27] Mobasher B, Dai H, Luo T, et al. Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization [J]. Data Mining and Knowledge Discovery, 2002, 6(1): 61-82. |