基于知识库的渔业领域本体学习算法

doi:10.3969/j.issn.1000-9957.2011.02.014

大连海洋大学学报

2011, Vol. 26

Issue (2): 168-172 DOI: 10.3969/j.issn.1000-9957.2011.02.014

基于知识库的渔业领域本体学习算法

于红,刘溪婧

大连海洋大学信息工程学院,辽宁大连116023

Knowledge base based fisheries ontology learning algorithm

YU Hong,LIU Xi-jing

School of Information Engineering,Dalian Ocean University,Dalian 116023,China

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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。

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关键词: 知识库本体学习渔业本体

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.

Key words: knowledge base ontology learning fisheries ontology

出版日期: 2011-04-21 发布日期: 2016-12-30 期的出版日期: 2011-04-21

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TP311.133

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]. 大连海洋大学学报, 2011, 26(2): 168-172.
YU Hong, LIU Xi-jing. Knowledge base based fisheries ontology learning algorithm. Journal of Dalian Ocean University, 2011, 26(2): 168-172.

链接本文:

https://xuebao.dlou.edu.cn/CN/10.3969/j.issn.1000-9957.2011.02.014 或 https://xuebao.dlou.edu.cn/CN/Y2011/V26/I2/168

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