| 基于Ontology和EM方法的网页分类研究 |
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| 引用本文： | 丁艳,曹倩,王超,潘金贵.基于Ontology和EM方法的网页分类研究[J].计算机科学,2003,30(11):112-115. |
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| 作者姓名： | 丁艳 曹倩 王超 潘金贵 |
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| 作者单位： | 南京大学计算机软件新技术国家重点实验室,南京大学多媒体技术研究所,南京,210093 |
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| 摘 要： | Works on abstracting semantic information from substantive pages of Web and their usage in search engine can lead to intelligent retrieval ,or other individual services. This paper mainly focuses on some research about analysis of Web page classification infor. Ontology as a base,using TFIDF word weights and Rocchio algorithm is combined with EM to improve accuracy of classifier. It's proved that this EM procedure works well on enhancing the veracity by the usage of unlabeled pages when the samples are limited.
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| 关 键 词： | 网页分类 TFIDF EM 研究 方法 |
Web Page Classification Research Based on Ontology and EM |
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| DING Yan CAO Qian WANG Chao PAN Jin-Gui.Web Page Classification Research Based on Ontology and EM[J].Computer Science,2003,30(11):112-115. |
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| Authors: | DING Yan CAO Qian WANG Chao PAN Jin-Gui |
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| Abstract: | Works on abstracting semantic information from substantive pages of Web and their usage in search engine can lead to intelligent retrieval,or other individual services. This paper mainly focuses on some research about analysis of Web page classification infor. Ontology as a base,using TFIDF word weights and Rocchio algorithm is combined with EM to improve accuracy of classifier. It's proved that this EM procedure works well on enhancing the veracity by the usage of unlabeled pages when the samples are limited. |
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| Keywords: | Ontology VSM Classifier Feature vector Document vector |
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