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Thematic Search Algorithms in Scientometric Systems

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Abstract

This paper considers methods developed by the author for thematic search of scientific and technical journals and conferences, using software tools that implement full-text search and expert search algorithms. First, a brief review of the existing systems of thematic search for scientometric data is given with an indication of their main shortcomings. Algorithms developed by the author, their software implementation, and testing on big data of the scientometric system are described. To execute queries, the algorithms developed by the author use full-text descriptions of objects in scientometric systems and graphs of mutual relations between objects, filter data by narrowly focused thematic queries, and rank search results by authority.

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REFERENCES

  1. Intellektual’naya sistema tematicheskogo issledovaniya nauchno-tekhnicheskoi informatsii (ISTINA) (ISTINA – Intelligent System for Thematic Research of Scientific-Technical Information), Sadovnichii, V.A., Vasenin, V.A., Eds., Moscow: MSU, 2014.

    Google Scholar 

  2. Orlov, A.I., Scientometrics and scientific activity control, in Upravlenie bol’shimi sistemami (Big Systems Control), special issue no. 44: Naukometriya i ekspertiza v upravlenii naukoi (Scientometrics and Expert Research for Science Control), Moscow: Institute of Control Sciences RAS, 2013, pp. 538–568.

  3. Polyanin, A.D., Disadvantages of Hirsch index and citation index. Maximum citation indexes. http://eqworld.ipmnet.ru/ru/info/sci-edu/Polyanin_IndexH_2014.html. Cited 23.01.2022.

  4. Brichkovskii, V.V., Scientometrical analysis for information support of innovation activity, Mire Nauki, 2017, no. 8(174), pp. 64–67.

  5. Afonin, S.A., Kozitsyn, A.S., and Shachnev, D.A., Software mechanisms for data aggregation based on ontological displacement of relative scientometrical database, Program. Inzheneriya, 2016, vol. 7, no. 9, pp. 408–413.

    Article  Google Scholar 

  6. Data Mining: Practical Machine Learning Tools and Techniques, Witten, I.H., Frank, E., Hall, M.A., and Pal, C.J., Eds., Morgan Kaufmann, 2016.

  7. Vasenin, V.A., Zanchurin, M.A., Kozitsyn, A.S., Krivchikov, M.A., and Shachnev, D.A., Architectural and technological aspects for developing and supporting big information and analytical systems in the field of science and education, Program. Inzheneriya, 2017, vol. 8, no. 10, pp. 448–455.

    Article  Google Scholar 

  8. Vasenin, V.A., Zanchurin, M.A., Kozitsyn, A.S., Krivchikov, M.A., and Shachnev, D.A., Architectural and technological aspects of the cloud data analysis system development, case of istina system, Proc. 5th Int. Conf. on Actual Problems of System and Software Engineering APSSE2017, Moscow, 2017, pp. 90–96.

  9. Statistical data analysis in ISTINA system. https://istina.msu.ru/statistics/organization/214524/dynamic/. Cited 23.01.2022.

  10. Vasenin, V.A., Afonin, S.A., and Kozitsyn, A.S., Automated system for information thematic analysis, Inf. Tekhnol., 2009, no. S7, pp. 2–32.

  11. Sadovnichii, V.A., Vasenin, V.A., Afonin, S.A., Kozitsyn, A.S., and Golomazov, D.D., Information system “ISTINA” as a big data instrument for management on the base of scientometrical data analysis, in Znaniya – Ontologii – Teorii (ZONT-2015) Materialy Vserossiiskoi konferentsii s mezhdunarodnym uchastiem (Proc. All-Russian Conf. with International Participation Knowledge – Ontology – Theory (ZONT-2015)), Novosibirsk, 2015, pp. 115–123.

  12. Vasenin, V.A., Zenzinov, A.A., and Lunev, K.V., How to use scientometrical information and analytical systems for automating tendering procedure by the example of ISTINA informational-analytical system, Program. Inzheneriya, 2005, vol. 7, no. 10, pp. 472–480.

    Article  Google Scholar 

  13. Shachnev, D.A., Algorithm for searching activity results and experts in a given subject area by considering results significance, Program. Inzheneriya, 2021, vol. 12, no. 5, pp. 260–266.

    Article  Google Scholar 

  14. Kozitsin, A., Afonin, S., and Shachnev, D., Algorithm for searching experts in scientometric systems, Proc. 23rd Conf. on Scientific Services & Internet (SSI 2021), 2021, vol. 3066, pp. 59–68.

  15. Literary piracy in scientific articles. Problems on translation search. http://ai-news.ru/2018/01/plagiat_v_nauchnyh_statyah_trudnosti_obnaruzheniya_perevoda.html. Cited 19.01.2022.

  16. Afonin, S.A., Golomazov, D.D., and Kozitsyn, A.S., Ispol’zovanie sistem semanticheskogo analiza dlya organizatsii poiska nauchno-tekhnicheskoi informatsii, Program. Inzheneriya, 2012, no. 2, pp. 29–34. How to use semantic analysis systems for searching scientific-technical information

  17. Domnina, T.N. and Khachko, O.A., Nauchnye zhurnaly: kolichestvo, tempy rosta, XIX nauchno-prakticheskii seminar s mezhdunarodnym uchastiem “Informatsionnoe obespechenie nauki: novye tekhnologii” (translation), 2015, pp. 83–96. Scientific journals: number, growth rate Proc. 19th Sci.-Pract. Seminar with International Participation “Information Support for Science (Science Information Support?): New Technologies”

  18. De Solla Price, D.D., Little Science and Big Science, New York, 1963, p. 109.

    Book  Google Scholar 

  19. Kozitsyn, A.S., Afonin, S.A., and Shachnev, D.A., Metod otsenki tematicheskoi blizosti nauchnykh zhurnalov, Program. Inzheneriya, 2020, no. 6, pp. 335–341. Thematic similarity for scientific journals: estimating method

  20. Krasnov, F.V., Analiz metodov postroeniya grafa soavtorstva: podkhod na osnove dvudol’nogo grafa, Int. J. Open Inf. Technol., 2018, vol. 6, no. 2, pp. 31–37. The way to analyze co-authorship graph creating methods. An approach based on constructing bichromatic graph

    Google Scholar 

  21. Afonin, S., Kozitsyn, A., and Astapov, I., Sqlreports: yet another relational database reporting system, Proc. 9th Int. Conf. on Software Engineering and Applications, 2014, pp. 529–534.

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Authors and Affiliations

  1. Moscow State University, 119991, Moscow, Russia

    A. S. Kozitsyn

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  1. A. S. Kozitsyn
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Correspondence to A. S. Kozitsyn.

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Kozitsyn, A.S. Thematic Search Algorithms in Scientometric Systems. Program Comput Soft 49, 325–332 (2023). https://doi.org/10.1134/S0361768823040096

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  • DOI: https://doi.org/10.1134/S0361768823040096

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