System Development for Intelligent Search in Industrial Standards

Student: Gosteva Ekaterina

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Information Analytics in Enterprise Management (Master)

Year of Graduation: 2020

The work is devoted to the system development for intelligent search information in industrial standards based on the Stanford CoreNLP. The use of the developed system by engineers and software developers will allow you to effectively manage the database of terms of industrial standards, understand them correctly and comply with them in accordance with the chosen field of knowledge. The object of research in this work is industrial standards, the subject is systems for intelligent search in industrial standards. The first chapter is devoted to an overview of the construction of a search system: analysis of the problem of intelligent information search and the process of extracting information from natural language texts, analysis of available solutions in the field of intelligent information search by documents.The second chapter describes the subject area and the design of the system. The third chapter describes the main stages of system development: development of the module for extracting information from industry standards, implementation of the web-service using the Flask framework and a client web-application on React JS. The conclusion contains the results of the work and a description of the use of the system in further research.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses