@inproceedings{107_4f8d4848-dc2d-4155-afcb-561453cc4b27,

title = {Intelligent subject search support in science and education},

author = {Ivanov V.K. and Palyukh B.V. and Sotnikov A.N.},

url = {https://disk.yandex.ru/i/jLPLFrgAkYz6dg},

issn = {2303-9728},

year  = {2014},

date = {2014-04-29},

urldate = {2025-01-23},

booktitle = {Innovative Information Technologies : Materials of the III International scientific-рractical conference I2T-2014. Part 2. Innovative Information Technologies in Science},

pages = {34-40},

publisher = {Москва},

note = {Ivanov V.K., Palyukh B.V., Sotnikov A.N. Intelligent subject search support in science and education // Innovative Information Technologies : Materials of the III International scientific-рractical conference I2T-2014. Part 2. Innovative Information Technologies in Science. – M., 2014. - P. 34-40.},

keywords = {data centre, data mining, data warehouse, education, filtering, fitness, genetic algorithm, innovation, innovation index, population, ranking, relevance, science, search, search query},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{108_1f69f485-7466-46d2-8628-a25cbfc5e063,

title = {Approaches to the Intelligent Subject Search},

author = {Ivanov V.K. and Palyukh B.V. and Sotnikov A.N.},

url = {https://disk.yandex.ru/i/8CvNhqvF1S45gQ},

doi = {10.15439/978-83-60810-57-6},

year  = {2014},

date = {2014-01-23},

urldate = {2025-01-23},

booktitle = {Federated Conference on Computer Science and Information Systems (FedCSIS'2014) (September 7-10, 2014. Warsaw, Poland). Annals of Computer Science and Information Systems. Volume 3. Position Papers},

pages = {13-20},

publisher = {Warszawa: PTI},

abstract = {<p>This article presents main results of the pilot study of approaches to the subject information search based on automated semantic processing of mass scientific and technical data. The authors focus on technology of building and qualification of search queries with the following filtering and ranking of search data. Software architecture, specific features of subject search and research results application are considered.</p>},

note = {Ivanov V.K., Palyukh B.V., Sotnikov A.N. Approaches to the Intelligent Subject Search // Federated Conference on Computer Science and Information Systems (FedCSIS'2014) (September 7-10, 2014. Warsaw, Poland). Annals of Computer Science and Information Systems. Volume 3. Position Papers, DOI 10.15439/978-83-60810-57-6. - Warsawa, 2014. - P. 13-20},

keywords = {data centre, data mining, data warehouse, education, filtering, fitness, genetic algorithm, innovation, innovation index, population, ranking, relevance, science, search, search query},

pubstate = {published},

tppubtype = {inproceedings}

}