References

ecr-journal

Экономическая наука современной России

Economics of Contemporary Russia

1609-14422618-8996

Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences

10.33293/1609-1442-2020-1(88)-143-157

ecr-journal-488

Research Article

ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ В ЭКОНОМИКЕ

INFORMATIONAL TECHNOLOGIES IN ECONOMICS

Инновационный подход к поиску информации на примере патентного анализа плана импортозамещения

Innovative Approach to Information Search by Example of a Patent Analysis of an Important Substitution Plan

https://orcid.org/0000-0002-9393-1044

Милкова

Мария Александровна

Milkova

Maria A.

m.a.milkova@gmail.com

Центральный экономико-математический институт РАН, МоскваРоссияCentral Economics and Mathematics Institute of the Russian Academy of Sciences, MoscowRussian Federation

2020

06042020

01143157

2020

Милкова М.А.

Milkova M.A.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://www.ecr-journal.ru/jour/article/view/488

В настоящее время процесс накопления информации настолько стремителен, что концепция привычного итерационного поиска требует пересмотра. К методам поиска необходимо предъявлять повышенные требования, находясь в мире, перенасыщенном информацией, чтобы всесторонне охватить и проанализировать исследуемую проблему. Инновационный подход к поиску должен гибко учитывать большой объем уже накопленных знаний и априорные требования к результатам. Результаты, в свою очередь, должны сразу представлять дорожную карту исследуемого направления с возможностью сколько угодно подробной детализации. Подход к поиску на основе тематического моделирования, так называемый тематический поиск, позволяет учесть все эти требования и тем самым упорядочить характер работы с информацией, повысить эффективность добычи знаний, избежать когнитивных искажений при восприятии информации, что важно как на микро-, так и на макроуровне. С целью демонстрации примера применения тематического поиска в статье рассматривается задача анализа программы импортозамещения на основе патентных данных. Программа включает планы по 22 отраслям и содержит более 1500 товаров и технологий для предполагаемого импортозамещения. Применение патентного поиска на основе тематического моделирования позволяет осуществлять поиск сразу по блокам априорно задаваемой информации – пунктам отраслевых планов импортозамещения и на выходе получать подборку релевантных документов по каждой отрасли. Данный подход позволяет не только емко представить эффективность реализации программы в целом, но и наглядно получить более детальную информацию о том, какие именно группы продуктов и технологий получали патент.

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.

инновационный поисктематический поисктематическое моделированиеимпортозамещениепатентный поискпатентный анализаддитивная регуляризация тематических моделей

innovative searchtopic searchtopic modelingimport substitutionpatent searchpatent analysisadditive regularization of topic models

Статья подготовлена при финансовой поддержке Российского фонда фундаментальных исследований (проект № 19-010-00293 «Разработка методологии, экономико-математических моделей, методик и систем поддержки принятия решений для проведения поисковых исследований по выявлению возможностей импортозамещения высокотехнологичной продукции на основе мировых патентных и финансовых информационных ресурсов»).

This article was prepared with the financial support of the Russian Foundation of Basic Research (project No. 19-010-00293 «Development of methodology, economic and mathematical models, methods and decision support systems for search research to identify opportunities for import substitution of high-tech products based on world patent and financial information resources»).

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The authors declare that there are no conflicts of interest present.