| 面向不同结构化程度数据源的本体学习方法研究 |
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| 引用本文： | 金灿.面向不同结构化程度数据源的本体学习方法研究[J].计算机时代,2010(8):10-13. |
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| 作者姓名： | 金灿 |
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| 作者单位： | 湖南文理学院现代教育技术中心,湖南,常德,415000 |
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| 基金项目： | 湖南文理学院科研项目 |
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| 摘 要： | 本体研究已成为计算机领域的一个研究热点，而本体学习又是本体研究的热点问题之一。文章根据数据源的结构化程度，将数据源分为结构化、非结构化和半结构化数据源，分别研究了如何从这三种不同程度结构化的数据源中学习本体，探讨了后续研究工作的本体学习方法以及研究目标，并论述了目前研究存在的不足及对未来的展望。
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| 关 键 词： | 本体 本体学习 概念 映射规则 |
Research on Ontology Learning Method for Data Sources Structured at Different Degrees |
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| JIN Can.Research on Ontology Learning Method for Data Sources Structured at Different Degrees[J].Computer Era,2010(8):10-13. |
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| Authors: | JIN Can |
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| Affiliation: | JIN Can(Modern Education Technology Center,Hunan University of Arts and Science,Changde,Hunan 415000,China) |
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| Abstract: | Ontology research is gradually becoming a hotspot in the field of computer science,and ontology learning is one of the hotspots in ontology research.The data sources are divided into structured,non-structured and semi-structured according to their structured degrees.How to learn the ontology from these three data sources is respectively researched,the ontology learning method and research target in the following work are discussed,and the problems of current research and future direction are pointed out. |
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| Keywords: | ontology ontology learning concept mapping rule |
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