Semantic matching of State Rubricator of Sci-tech Information and OECD headings

The Book. Culture. Education. Innovations: Proceedings of the Sixth World Professional Forum «Crimea-2021» (Sudak, June 5–13, 2021) Pub Date : 1900-01-01 DOI:10.33186/978-5-85638-236-4-2021-60-76

E. Dmitrieva, E. Terekhova

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Abstract

The study was completed to solve the problems of information compatibility and integration of subject subspaces into the single one and information retrieval from heterogeneous resources classified within different classifications of sci-tech information. Based on intellectual analysis and classification synonymity achieved through semantic mapping of hierarchy branches, the tables of SRSTI-OECD headings interreflection were designed. The mapping tables are supplemented with indices comprising Russian-English and English-Russian keywords and word combinations to classify OECD subject domains. The statistics of defined semantic matches distribution of classification numbers in SRSTI thematical classes is included. The SRSTI-OECD «adapter» (semantic links between the classifications and two-language subject indices) makes the component of the single network of interrelated classification systems being developed at the Russian National Public Library for Science and Technology

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国家科技信息检索器与OECD标题的语义匹配

为解决科技信息中学科子空间的信息兼容问题和学科子空间的整合问题，以及从不同分类的异构资源中检索信息的问题。基于层次分支语义映射实现的智力分析和分类同义，设计了SRSTI-OECD标题互映表。映射表补充了索引，其中包括俄语-英语和英语-俄语关键字和单词组合，以对经合组织主题领域进行分类。统计了SRSTI主题类中分类号的定义语义匹配分布。SRSTI-OECD«适配器»(分类和两种语言主题索引之间的语义链接)是俄罗斯国家科学技术公共图书馆正在开发的相互关联的分类系统的单一网络的组成部分

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The Book. Culture. Education. Innovations: Proceedings of the Sixth World Professional Forum «Crimea-2021» (Sudak, June 5–13, 2021)

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