Experience of developing personal bibliographic retrieval system, oriented on specific area of scientific or engineering knowledge


DOI: 10.34759/trd-2020-114-16

Аuthors

Filimonov I. A.

e-mail: lja199@bk.ru; ilafilimonov@mai.education

Abstract

The article regards a case of personalized bibliographic retrieval system, as well as the examples of its application. The system is accommodated with the resources of the AI Corpus scientific publication, established at the Pole Allen Artificial Intelligence Institute. It complements such retrieval systems, as Google, and by engaging of certain open components can be extended by the functions of searching, referencing and analyzing of a higher level. The author proposes an approach, allowing perform a two-stage information retrieval, i.e. by the search in the Global Information Bank, and thereafter by the fine search within the boundaries of the information asset being retrieved with regard to the special areas of the system user interests.

To clarify of the problems of this article, a partial classification of informational systems by the nature and role of the informational retrieval being performed in them was proposed. The basic requirements to the implemented system were formulated. A technique for scientific documents passports cataloguing was proposed. The author performed comparative analysis of the implemented system with the general-purpose retrieval systems. Systems of information analysis services for a specialist in the area of software engineering are the research objects, dedicated to the problem under discussion. Physical purpose of the study consists in implementing experimental individualized bibliographic retrieval systems for both scientific and technical workers. The implemented system can be employed as well by the scientific and technical personnel for search, selection and analysis of scientific documents in the field of aerospace engineering.

Keywords:

search engine, resource collection, two-stage search, bank of scientific publications, user interface

References

  1. Korobeinikov P.A., Shishaev M.G. Trudy Kol’skogo nauchnogo tsentra RAN, 2013, no. 5 (18), pp. 98 – 102.

  2. Belyaev D.V. Trudy MAI, 2005, no. 18. URL: http://trudymai.ru/eng/published.php?ID=34186

  3. Shishaev M.G., Lomov P.A., Dikovitskii V.V. Trudy Kol’skogo nauchnogo tsentra RAN, 2013, no. 5 (18), pp. 90 – 97.

  4. Dikovitskii V.V. Trudy SPIIRAN, 2015, no. 5 (42), pp. 56 – 76.

  5. Dikovitskii, V.V. et al. Vestnik Kol’skogo nauchnogo tsentra RAN, 2011, no. 3 (6), pp. 63 – 73.

  6. Gagarin A.P., Serdyukov V.V. Sovremennye informatsionnye tekhnologii i IT-obrazovanie, 2018, vol. 14, no. 3, pp. 644 – 651.

  7. Sizikov E.V., Soshnikov D.V. Trudy MAI, 2002, no. 7. URL: http://trudymai.ru/eng/published.php?ID=34628

  8. Nabatov A.N., Vedenyapin I.E., Mukhtarov A.R. Trudy MAI, 2018, no. 102. URL: http://trudymai.ru/eng/published.php?ID=99177

  9. Reakt P., Lyuk K. NDJSON. Newline-razdeliteli v formate JSON. Standart dlya ogranichivayushchei JSON v protokolakh potoka, 2018. URL: https://clue.engineering/2018/introducing-reactphp-ndjson

  10. Crockford D. The application/json Media Type for JavaScript Object Notation (JSON), Internet Engineering Task Force, 2006. DOI: 10.17487/RFC4627

  11. Open Research Corpus. SemanticScholar, 2019. URL: http://s2-public-api-prod.us-west-2.elasticbeanstalk.com/corpus

  12. Mandalka M. Open Semantic Search: Free Software for Search Engine, Explorer for Discovery of large document collections, Media Monitoring, Text Analytics, Document Analysis & Text Mining platform, 2018. URL: https://www.opensemanticsearch.org

  13. Chris Mattmann, Jukka Zitting. Tika in action, Manning Publications, 2011, 256 p.

  14. Paramoshkin D.S., Shibanov S.V., Khmelevskoi B.G. Trudy Mezhdunarodnogo simpoziuma “Nadezhnost’ i kachestvo”, 2009, vol. 1, pp. 211 – 214.

  15. Sidorov G. Syntactic Dependency Based N-grams in Rule Based Automatic English as Second Language Grammar Correction, International Journal of Computational Linguistics and Applications, 2013, vol. 4, no. 2, pp. 169 – 188.

  16. Mkrtchyan G.A., Vecherinina E.A., Dobryashkina E.N., Cheprakova L.A. Trudy MAI, 2007, no. 27. URL: http://trudymai.ru/eng/published.php?ID=34001

  17. Freed N., Borenstein N. Multipurpose Internet Mail Extensions (MIME) Part Two: Media Types. RFC2046, Innosoft, First Virtual Holdings, November 1996, URL: http://tools.ietf.org/html/rfc2046

  18. Resnick P., Walker A. The text/enriched MIME Content-type. RFC-1896, February, 1996. URL: https://tools.ietf.org/html/rfc1896.html

  19. Kilgarriff A. Putting Frequencies in the Dictionary, International Journal of Lexicography, 1997, no. 10 (2), pp. 135 – 155. DOI: 10.1093/ijl/10.2.135

  20. Frolov A.S. Molodoi uchenyi, 2016, no. 13 (117), pp. 357 – 360.


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

 Вход