| Ontology自动构建平台OntoAGS |
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| 引用本文： | 李林,刘贺欢,刘椿年.Ontology自动构建平台OntoAGS[J].计算机工程,2006,32(13):212-214. |
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| 作者姓名： | 李林 刘贺欢 刘椿年 |
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| 作者单位： | 北京工业大学计算机学院多媒体与智能软件北京市重点实验室,北京,100022 |
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| 基金项目： | 国家高技术研究发展计划(863计划);北京市自然科学基金 |
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| 摘 要： | 设计并实现了一个Ontology自动构建平台OntoAGS。OntoAGS支持从给定的领域文集中抽取术语，并用领域无关文集过滤术语；支持概念学习，确定术语在其所属领域内的意义；支持实例学习，发现概念的实例；支持关系学习，找到概念间的关系。实验表明，与TextToOnto相比，用户运用OntoAGS能更准确有效地构建领域Ontology。
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| 关 键 词： | Ontology自动构建 术语抽取 概念学习 实例学习 关系学习 |
| 文章编号： | 1000-3428（2006）13-0212-03 |
| 收稿时间： | 07 12 2005 12:00AM |
| 修稿时间： | 2005-07-12 |
OntoAGS: A Platform of Generating Domain Ontology Automatically |
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| LI Lin,LIU Hehuan,LIU Chunnian.OntoAGS: A Platform of Generating Domain Ontology Automatically[J].Computer Engineering,2006,32(13):212-214. |
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| Authors: | LI Lin LIU Hehuan LIU Chunnian |
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| Affiliation: | Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science Beijing University of Technology, Beijing 100022 |
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| Abstract: | This paper presents a platform of generating domain ontology automatically, namely OntoAGS. In OntoAGS, terms are extracted from collected corpus relevant to specified domain, redundant terms are filtered by using corpus irrelevant to specified domain, concept learning methods are employed to identify the meanings of the extracted terms, and instances of learned concepts and relationship between concepts are discovered by using improved instance learning algorithm and relation learning algorithm respectively. Experiments show that OntoAGS outperforms the existing platform TextToOnto by using the above technologies. |
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| Keywords: | Generating ontology automatically Terminology extraction Concept learning Instance learning Relation learning |
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