Features of interaction with information search services for novice users: opportunities and limitations
EDN: https://elibrary.ru/hecvro
Abstract
The article is devoted to the study of the specifics of interaction with information search services (ISS) for novice users working with intellectual property objects (IPO). The purpose of the article is to help novice users understand the functionality of existing ISSS and learn how to choose the most suitable systems for their tasks. The article uses an analysis method based both on the generalization of published works describing the main characteristics of such systems, and on experimental data obtained by performing specific queries. The paper examines the key characteristics, functionality, limitations, and usability of popular ISS. Particular attention is paid to search methods that help solve tasks of varying complexity, as well as recommendations for choosing suitable systems for performing different types of queries. The article is addressed to novice specialists, students, and users interested in effectively searching for information about IPOs and explores the features of interacting with modern information retrieval systems.
Keywords
intellectual property item,
intellectual property,
patent search,
information searching service,
searching systems
Supporting agencies: The article was prepared based on the materials of the research work of the Federal Institute of Industrial Property (FIPS) “Study of user experience in receiving services in the field of intellectual property in electronic form and preparation of recommendations for modernization and development of digital services”.
About the Authors
R. G. Alilov
Federal Institute оf Industrial Property
Russian Federation
Russian Federation
Roman. G. Alilov, Deputy Head of the Department of Project Management and Implementation
Moscow, Berezhkovskaya emb., 30, bld. 1
E. R. Abieva
Federal Institute оf Industrial Property
Russian Federation
Russian Federation
Elina R. Abieva, Category 1 Engineer in the Portal Solutions Design Department
Moscow, Berezhkovskaya emb., 30, bld. 1
D. I. Zubov
Federal Institute оf Industrial Property
Russian Federation
Russian Federation
Dmitriy I. Zubov, Chief Specialist of the System and Business Analysis Department
Moscow, Berezhkovskaya emb., 30, bld. 1
References
1. Petrova, I. Yu. and Puchkova, A. A. (2016), “The methodology of patent analysis in order to find analogues and prototypes of the obtained technical solutions”, Vestnik Mordovskogo universiteta, no. 1, pp. 50–57.
2. Smirnov, I. V. (2017), “Patent Analytics for Scientific and Technological Development of Greater Eurasia Countries”, Sbornik materialov IV Mezhdunarodnoj nauchno-prakticheskoj konferencii [Collection of materials of the IV International Scientific and Practical Conference], Analitika razvitiya, bezopasnosti i sotrudnichestva: Bol`shaya Evraziya – 2030 [Analytics of development, security and cooperation: Greater Eurasia – 2030], Moscow, Russia, 27 November, 2017, pp. 149–151.
3. Safronova, N. I. (2020), “The formula of practical usefulness and effectiveness of patent search”. Nauka i innovatsii, no. 4 (206), pp. 28–33.
4. Genin, B. and Zolkin, D. (2021), “Similarity search in patents databases. The evaluations of the search quality”, World Patent Information, vol. 64, no. 61.
5. Aristodemou, L. and Tietze, F. (2018), “The state-of-theart on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data”, World Patent Information, vol. 55, pp. 37–51.
6. Akinshina, A. V. (2016), “Automation of the search for pictorial designations of trademarks and the legal basis for its implementation”, Otechestvennaia iurisprudentsiia, no. 10 (12), pp. 24–26.
7. Kashevarova, N. A., Andreeva, A. A. and Ponomareva, E. I. (2020) “Digital tools for patent research”, Voprosy innovacionnoj e`konomiki, vol.10, no. 2, pp. 1059–1074.
8. Shpak, Yu. O. and Yushkovecz E. S. (2022), “Possibilities of using artificial intelligence in patent analytics”, Sbornik nauchny`x statej XII Mezhdunarodnoj nauchno-prakticheskoj konferencii [Collection of scientific articles of the 12th International Scientific and Practical Conference], Aktual`ny`e problemy” razvitiya social`no-e`konomicheskix sistem [Current issues of development of socio-economic systems], Kursk, Russia, 27 May, 2022, pp. 391–398.
Review
For citations:
Alilov R.G., Abieva E.R., Zubov D.I. Features of interaction with information search services for novice users: opportunities and limitations. Bulletin of Federal institute of industrial property. 2025;4(1):62-75. (In Russ.) EDN: https://elibrary.ru/hecvro
Views:
27
JATS XML
Email this article 