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基于Ontology扩展查询的数学表达式检索模型 被引量:2

Mathematical Expression Retrieval Model Based on Ontology Extended Query
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摘要 针对现有数学表达式检索系统中待检索表达式与目标文档之间的语义关联问题,在使用序列化特征提取方法解析La Te X表达式的基础上,提出一种基于Ontology的数学表达式检索方法。运用Ontology建立数学表达式及其概念之间的联系并构建数学表达式语义本体库,以达到输入关键词、概念、短语和数学名词可检索数学表达式语义相关文献的目的。实验结果表明,基于Ontology的数学表达式检索方法运用本体概念扩展查询结果集,使得查全率、查准率和扩展率均有一定程度提高。 Aiming at the semantic relationship problem between the expression to be searched and the target document in the existing mathematical expression retrieval system,based on the analysis of the LaTeX expression using the Serialized Feature Extraction( SFE) extraction method,a mathematical expression retrieval method based on ontology is proposed. It use ontology to establish the relationship between mathematical expressions and their concepts and build a mathematical expression semantic ontology library to achieve the purpose of retrieving the semantic related documents of mathematical expressions by inputting keywords,concepts,phrases and mathematical nouns. Experimental results show that the ontology-based mathematical expression retrieval extends the query result set using ontology concepts, so that the recall rate,precision rate, and expansion rate are all improved to some extent.
作者 李新福 徐筱 田学东 LI Xinfu;XU Xiao;TIAN Xuedong(College of Computer Science and Technology, Hebei University, B aoding, Hebei 071000, China)
出处 《计算机工程》 CAS CSCD 北大核心 2018年第5期155-161,共7页 Computer Engineering
基金 国家自然科学基金(61375075) 河北省教育厅高等学校科学技术研究重点项目(ZD2017208 ZD2017209)
关键词 数学表达式检索 语义 序列化特征提取 本体 查询扩展 mathematical expression retrieval semantics Serialized Feature Extraction (SFE) ontology query expansion
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