MODEL OF STANDARD FOR INFORMATION RETRIEVAL IN THE COLLECTION OF REGULATORY FRAMEWORK DOCUMENTS

Author:

Butenko Yu. I.

Abstract

The article proposes a model of the standards’ texts for information retrieval in the collection of documents the regulatory framework. It is proved that the standard means of information retrieval in the collection texts of standards are ineffective due to the compositional features of the texts and the wide use of generalized and abstract vocabulary. Distinctive stylistic features of standards’ texts in normative base are shown in compositional structure, logic of material representation, compactness. It is noted that the standards’ texts have the same structure of material presentation for all texts of this class, and also contain a limited set of structural elements. The description of structural elements of standards is given. It is proved that the compositional structure of the standard’s text has a significant impact on the results of information retrieval in the collection of documents the regulatory framework. The compositional structure of the standard in the Backus-Naur notations is presented. It is developed the model of the standards’ text in the form of a graph, the vertices and edges of which are full-fledged structural elements of the standard, significant both for the content of the text as a whole, and in terms of information retrieval. It is proved that the presentation of the standard’s text in the form of a graph makes it possible in the process of computer analysis the standard’s text to determine the type of structural element, the degree of nesting, by submitting the standard in the form of a finite set of its components.

Publisher

Izdatel'skii dom Spektr, LLC

Reference17 articles.

1. Lukashevich N. V. (2011). Thesauri in information retrieval problems. Moscow: Izdatel'stvo MGU. [in Russian language]

2. Manning K., Raghavan Pr., Shyuttse H. (2014). An introduction to information retrieval. Moscow: Vil'yams. [in Russian language]

3. Butenko Yu. I., Semenova E. L. (2019). Influence of linguistic features of standards texts on information retrieval. Filologicheskie nauki. Nauchnye doklady vysshey shkoly, (6), pp. 29 – 35. [in Russian language] DOI: 10.20339/PhS.6-19.029

4. Kharchenko V., Sklyar V., Volkoviy A. (2014). Nuclear Power Plant Instrumentation and Control Systems for Safety and Security. IGI Global, pp. 146 – 177.

5. Lipaev V. V. (2009). Human factors in software engineering: recommendations and requirements for professional qualifications of specialists. Moscow: SINTEG. [in Russian language]

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Model of the Text of a Scientifc and Technical Article for Markup in the Corpus of Scientifc and Technical Texts;Vestnik NSU. Series: Information Technologies;2023-02-12

2. Ontology Application in Automating Regulatory Profile Forming for Software Certification;Scientific and Technical Information Processing;2022-12

3. EFFICIENCY INCREASING OF INFORMATION SEARCH ON A GIVEN TOPIC ON THE INTERNET;Vestnik komp'iuternykh i informatsionnykh tekhnologii;2022-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3