An information retrieval system for technology analysis and forecasting / Nikitinsky N., Ustalov D., Shashev S. // Proceedings of Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference, AINL-ISMW FRUCT 2015. - 2016. - V. , l. . - P. 52-59.

ISSN:
нет данных
Type:
Conference Paper
Abstract:
Expert evaluation of grant proposals and research projects is often facilitated by specialized decision support systems, which analyze research and industry trends in a large domain-dependent text corpus. Despite that there exist production-grade technological forecasting systems for English, Russian patent databases and citation indexes had been developed isolated from the global ones. This complicates technology analysis and forecasting in research conducted in Russia. In this paper, we present a scientific information retrieval system designed for the Russian language. The system uses patents, research papers and government contracts for facilitating the expertise process by providing the experts with relevant documents. Comparison of our system with a popular baseline shows promising results. © 2015 FRUCT.
Author keywords:
Index keywords:
Artificial intelligence; Computational linguistics; Decision support systems; Forecasting; Industrial research; Information analysis; Information retrieval; Information retrieval systems; Patents and
DOI:
10.1109/AINL-ISMW-FRUCT.2015.7
Смотреть в Scopus:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969513667&doi=10.1109%2fAINL-ISMW-FRUCT.2015.7382969&partnerID=40&md5=110bf52e861c6c0fc86ac444ba490363
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Поле Значение
Art. No. 7382969
Link https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969513667&doi=10.1109%2fAINL-ISMW-FRUCT.2015.7382969&partnerID=40&md5=110bf52e861c6c0fc86ac444ba490363
Affiliations NAUMEN, Moscow, Russian Federation; Ural Federal University, Yekaterinburg, Russian Federation; Tsentr Razrabotki, Sevastopol, Russian Federation
Funding Details 14.579.2l.009l, Ministry of Education and Science of the Russian Federation
Funding Text Research reported in this publication was supported by Ministry of Education and Science of the Russian Federation under contract number 14.579.2l.009l.
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Publisher Institute of Electrical and Electronics Engineers Inc.
Conference name Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference, AINL-ISMW FRUCT 2015
Conference date 9 November 2015 through 14 November 2015
Conference code 119090
ISBN 9789526839707
Language of Original Document English
Abbreviated Source Title Proc. Artif. Intell. Nat. Lang. Inf. Extr., Soc. Media Web Search FRUCT Conf., AINL-ISMW FRUCT 2015
Source Scopus