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基于知识库的渔业领域本体学习算法
引用本文:于红,刘溪婧.基于知识库的渔业领域本体学习算法[J].大连水产学院学报,2011,26(2):168-172.
作者姓名:于红  刘溪婧
作者单位:大连海洋大学信息工程学院;
基金项目:辽宁省教育厅高等学校科研计划项目(05L090); 大连市青年基金资助项目(2005J22JH038); 大连海洋大学博士启动基金资助项目(sybs200712)
摘    要:分析了现有本体学习方法的基本思想及其应用于渔业领域本体学习的局限性,结合渔业领域概念的特点,提出了一种基于知识库的渔业领域本体学习算法,给出了算法的详细描述,并用实验验证了算法的性能。结果表明,该算法的召回率较高,但准确率稍低一些。

关 键 词:知识库  本体学习  渔业本体

Knowledge base based fisheries ontology learning algorithm
YU Hong,LIU Xi-jing.Knowledge base based fisheries ontology learning algorithm[J].Journal of Dalian Fisheries University,2011,26(2):168-172.
Authors:YU Hong  LIU Xi-jing
Institution:YU Hong,LIU Xi-jing(School of Information Engineering,Dalian Ocean University,Dalian 116023,China)
Abstract:The ontology learning methods and their limits in fisheries are discussed.A knowledge base based fisheries ontology learning algorithm is proposed,and the proposed algorithm is featured in fisheries'conception into consideration.The algorithm is explained in detail,and the performance of the proposed algorithm was proved in the experiments in which the results were showed to be effective.
Keywords:knowledge base  ontology learning  fisheries ontology  
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