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As the text semantic mining process is also the knowledge representation process of text, this paper proposes a text knowledge representation model called text semantic mining model (TSMM) based on the algebra of human concept learning, which both carries rich semantics and is constructed automatically with a lower complexity. Herein, the algebra of human concept learning is introduced, which enables TSMM containing rich semantics. Then the formalization and the construction process of TSMM are discussed. Moreover, three types of reasoning rules based on TSMM are proposed. Lastly, experiments and the comparison with current text representation models show that the given model performs better than others.<\/p>","DOI":"10.4018\/jcini.2011040105","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T12:08:40Z","timestamp":1319026120000},"page":"80-96","source":"Crossref","is-referenced-by-count":0,"title":["Text Semantic Mining Model Based on the Algebra of Human Concept Learning"],"prefix":"10.4018","volume":"5","author":[{"given":"Jun","family":"Zhang","sequence":"first","affiliation":[{"name":"Shanghai University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangfeng","family":"Luo","sequence":"additional","affiliation":[{"name":"Shanghai University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"He","sequence":"additional","affiliation":[{"name":"Shanghai University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanliang","family":"Cai","sequence":"additional","affiliation":[{"name":"Shanghai University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jcini.2011040105-0","unstructured":"Agrawal, R., & Srikant, R. 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