| 基于本体的题名自动分类研究 |
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| 引用本文： | 吴起立.基于本体的题名自动分类研究[J].情报学报,2011,30(1). |
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| 作者姓名： | 吴起立 |
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| 作者单位： | 郑州轻工业学院图书馆,郑州,450002 |
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| 摘 要： | 本文依据中国知网、《中图法》、《中国分类主题词表》等知识库,通过对领域词语的概念化处理、建立推理规则、过滤掉阈值较低的词语等手段,形成领域词语本体知识库;然后,根据待分类题名的语义逻辑关系,结合基于距离的语义相似度的计算规则,形成一种应用于领域词语本体的题名自动分类方法,该方法在一定程度上弥补了文献题名特征不足的缺点,且提高了准确率和召回率。
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| 关 键 词： | 本体 题名 自动分类 |
Title Classification Based on Ontology |
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| Wu Qili.Title Classification Based on Ontology[J].Journal of the China Society for Scientific andTechnical Information,2011,30(1). |
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| Authors: | Wu Qili |
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| Institution: | Wu Qili (Library of Zhengzhou University of Light Industry,Zhengzhou 450002) |
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| Abstract: | An ontology terras knowledge base can be formed by conceptualizing domain terms,establishing the inference rules and filtering out the lower threshold terms according to CNKI,CLC and so on.Then the method of automatic title classification based on ontology can be established through the logical relationship of the semantics and similarity calculation rules. This method can make up for the defects of title feature and increase the accuracy and recall ratio. |
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| Keywords: | ontology title classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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