| 通用本体学习框架研究 |
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| 引用本文： | 刘柏嵩,高济.通用本体学习框架研究[J].东南大学学报,2006,22(3):381-384. |
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| 作者姓名： | 刘柏嵩 高济 |
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| 作者单位： | 浙江大学计算机科学与技术学院，浙江大学计算机科学与技术学院 杭州310027宁波大学网络中心，宁波315211，杭州310027 |
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| 基金项目： | The National Basic Research Program of China(973Program)(No.2003CB317000),the Natural Science Foundation of Zhejiang Province (No.Y105625). |
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| 摘 要： | 提出了一种通用本体学习框架GOLF,通过对网络上各专业领域web文档集进行挖掘来实现本体自动构建,讨论了本体学习中本体概念的抽取、概念之间语义关系的抽取和分类体系的自动构建等关键技术,通过实验对算法进行了测试,并对本体评价方法进行了探讨.由于集成了多种机器学习算法,该方法在概念抽取和语义关系学习方面具有更高的准确性.采用通用本体WordNet和HowNet作为语料库,它可适用于不同的专业领域.同时,通过按需获取web文档,该方法能实时生成本体.
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| 关 键 词： | 本体 本体学习 本体评价 语义web |
| 收稿时间： | 04 25 2006 12:00AM |
General ontology learning framework |
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| Liu Baisong,Gao Ji.General ontology learning framework[J].Journal of Southeast University(English Edition),2006,22(3):381-384. |
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| Authors: | Liu Baisong Gao Ji |
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| Institution: | 1.College of Computer Science, Zhejiang University, Hangzhou 310027, China; 2.Network Center, Ningbo University, Ningbo 315211, China |
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| Abstract: | In order to reduce the costs of the ontology construction,a general ontology learning framework (GOLF) is developed.The key technologies of the GOLF including domain concepts extraction and semantic relationships between concepts and taxonomy automatic construction are proposed.At the same time ontology evaluation methods are also discussed.The experimental results show that this method produces better performance and it is applicable across different domains.By integrating several machine learning algorithms,this method suffers less ambiguity and can identify domain concepts and relations more accurately.By using generalized corpus WordNet and HowNet,this method is applicable across different domains.In addition,by obtaining source documents from the web on demand, the GOLF can produce up-to-date ontologies. |
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| Keywords: | ontology ontology learning ontology evaluation semantic web |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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