Descriptions of Some Boundary-Value Problems in the Semantic Library LibMeta

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
O. M. Ataeva, V. A. Serebryakov, N. P. Tuchkova
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引用次数: 0

Abstract

An ontological approach to design approach was used to describe the semantics of some boundary value problems in the LibMeta digital library. To describe problems in the LibMeta library, connections of terms and concepts with classical definitions from the mathematical encyclopedia and other primary sources are established. Establishing links allows a dictionary and thesaurus to be formed for the applied subject area of new boundary value problems, placing the results in the semantic environment of the digital library. Examples of this approach are seen in terms of the capabilities of LibMeta semantic library, which contains a digitized version of the mathematical encyclopedia, encyclopedia of mathematical physics, classifiers, and applied mathematical thesauri and dictionaries. New terms, drawn from publications, after they are added to the content of the library, are reflected in links in the mathematical encyclopedia. A thesaurus for problems in domain of elasticity theory was created by integrating subject dictionaries, classifiers, metadata of specialized journal publications, and the encyclopedic content of the LibMeta library. The purpose of this research is to provide the user with additional services in the search for publications in the applied scientific field.

Abstract Image

语义库LibMeta中一些边值问题的描述
采用本体论方法和设计方法对LibMeta数字图书馆中边界值问题的语义进行了描述。为了描述LibMeta库中的问题,建立了术语和概念与数学百科全书和其他主要来源的经典定义的联系。建立链接可以为新边界值问题的应用学科领域形成词典和辞典,并将结果置于数字图书馆的语义环境中。这种方法的例子可以从LibMeta语义库的功能中看到,该库包含数字化版本的数学百科全书、数学物理百科全书、分类器以及应用数学辞典和字典。从出版物中提取的新术语被添加到图书馆的内容后,会反映在数学百科全书的链接中。通过集成主题词典、分类器、专业期刊出版物的元数据和LibMeta库的百科全书式内容,创建了弹性理论领域问题的辞典。这项研究的目的是为用户搜索应用科学领域的出版物提供额外的服务。
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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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