{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T08:58:38Z","timestamp":1782205118921,"version":"3.54.5"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030868543","type":"print"},{"value":"9783030868550","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86855-0_17","type":"book-chapter","created":{"date-parts":[[2021,10,4]],"date-time":"2021-10-04T22:58:16Z","timestamp":1633388296000},"page":"248-263","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Approach to the Automated Development of Scientific Subject Domain Ontologies Based on Heterogeneous Ontology Design Patterns"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7111-6524","authenticated-orcid":false,"given":"Yury","family":"Zagorulko","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8731-3058","authenticated-orcid":false,"given":"Elena","family":"Sidorova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7371-1087","authenticated-orcid":false,"given":"Irina","family":"Akhmadeeva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8275-4700","authenticated-orcid":false,"given":"Alexey","family":"Sery","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2155-1357","authenticated-orcid":false,"given":"Galina","family":"Zagorulko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,10,4]]},"reference":[{"key":"17_CR1","series-title":"International Handbooks on Information Systems","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/978-3-540-92673-3_6","volume-title":"Handbook on Ontologies","author":"Y Sure","year":"2009","unstructured":"Sure, Y., Staab, S., Studer, R.: Ontology engineering methodology. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. IHIS, pp. 135\u2013152. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-540-92673-3_6"},{"key":"17_CR2","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1145\/2818359","volume":"59","author":"A De Nicola","year":"2016","unstructured":"De Nicola, A., Missikoff, M.: A lightweight methodology for rapid ontology engineering. Commun. ACM 59, 79\u201386 (2016)","journal-title":"Commun. ACM"},{"issue":"5","key":"17_CR3","first-page":"99","volume":"11","author":"A Sattar","year":"2020","unstructured":"Sattar, A., Salwana, E., Surin, M., Ahmad, M.N., Ahmad, M., Mahmood, A.K.: Comparative analysis of methodologies for domain ontology development: a systematic review. Int. J. Adv. Comput. Sci. Appl. 11(5), 99\u2013108 (2020)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"17_CR4","series-title":"Studies on the Semantic Web","first-page":"23","volume-title":"Ontology Engineering with Ontology Design Patterns","author":"E Blomqvist","year":"2016","unstructured":"Blomqvist, E., Hammar, K., Presutti, V.: Engineering ontologies with patterns: the extreme design methodology. In: Hitzler, P., Gangemi, A., Janowicz, K., Krisnadhi, A., Presutti, V. (eds.) Ontology Engineering with Ontology Design Patterns. Studies on the Semantic Web, vol. 25, pp. 23\u201350. IOS Press, Amsterdam (2016)"},{"key":"17_CR5","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-319-96553-6_11","volume-title":"Data Analytics and Management in Data Intensive Domains","author":"Y Zagorulko","year":"2018","unstructured":"Zagorulko, Y., Borovikova, O., Zagorulko, G.: Development of ontologies of scientific subject domains using ontology design patterns. In: Kalinichenko, L., Manolopoulos, Y., Malkov, O., Skvortsov, N., Stupnikov, S., Sukhomlin, V. (eds.) DAMDID\/RCDL 2017. CCIS, vol. 822, pp. 141\u2013156. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-96553-6_11"},{"key":"17_CR6","unstructured":"Zagorulko, Y., Borovikova, O., Zagorulko, G.: Pattern-based methodology for building the ontologies of scientific subject domains. In: Fujita, H., Herrera-Viedma, E., (eds.) New Trends in Intelligent Software Methodologies, Tools and Techniques. Proceedings of the 17th International Conference SoMeT_18. Series: Frontiers in Artificial Intelligence and Applications, vol. 303. Amsterdam, IOS Press (2018)"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Glinskiy, B., et al.: Building ontologies for solving compute-intensive problem. J. Phys.: Conf. Ser. 1715, 012071 (2021)","DOI":"10.1088\/1742-6596\/1715\/1\/012071"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Snytnikov, A.V., Glinskiy, B.M., Zagorulko, G.B., Zagorulko, Y.A.: Ontological approach to formalization of knowledge in computational plasma physics. J. Phys.: Conf. Ser. 1640, 012013 (2020)","DOI":"10.1088\/1742-6596\/1640\/1\/012013"},{"key":"17_CR9","first-page":"63","volume":"8","author":"Y Zagorulko","year":"2018","unstructured":"Zagorulko, Y., Zagorulko, G.: Features of development of internet resource for supporting developers of intelligent decision support systems. Open Semant. Technol. Intell. Syst. 8, 63\u201367 (2018)","journal-title":"Open Semant. Technol. Intell. Syst."},{"key":"17_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/978-3-642-20795-2_6","volume-title":"Knowledge-Driven Multimedia Information Extraction and Ontology Evolution","author":"G Petasis","year":"2011","unstructured":"Petasis, G., Karkaletsis, V., Paliouras, G., Krithara, A., Zavitsanos, E.: Ontology population and enrichment: state of the art. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds.) Knowledge-Driven Multimedia Information Extraction and Ontology Evolution. LNCS (LNAI), vol. 6050, pp. 134\u2013166. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-20795-2_6"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Ganino, G., Lembo, D., Mecella, M., Scafoglieri, F.: Ontology population for open-source intelligence: a GATE-based solution. Softw.: Pract. Exp. 48(12), 2302\u20132330 (2018)","DOI":"10.1002\/spe.2640"},{"key":"17_CR12","unstructured":"Maynard, D., Funk, A., Peters, W.: Using lexico-syntactic ontology design patterns for ontology creation and population. In: Proceedings of the Workshop on Ontology Patterns (WOP 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009). vol. 516, pp. 39\u201352. CEUR Workshop Proceedings (CEUR-WS.org) (2009)"},{"key":"17_CR13","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.websem.2012.01.002","volume":"15","author":"W Ijntema","year":"2012","unstructured":"Ijntema, W., Sangers, J., Hogenboom, F., Frasincar, F.: A lexico-semantic pattern language for learning ontology instances from text. Journal of Web Semantics 15, 37\u201350 (2012)","journal-title":"Journal of Web Semantics"},{"key":"17_CR14","series-title":"International Handbooks on Information Systems","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/978-3-540-92673-3_10","volume-title":"Handbook on Ontologies","author":"A Gangemi","year":"2009","unstructured":"Gangemi, A., Presutti, V.: Ontology design patterns. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. IHIS, pp. 221\u2013243. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-540-92673-3_10"},{"key":"17_CR15","unstructured":"Association for Ontology Design & Patterns. http:\/\/ontologydesignpatterns.org, Accessed on 20 July 2021"},{"key":"17_CR16","unstructured":"Karima, N., Hammar, K., Hitzler, P.: How to document ontology design patterns. In: Advances in Ontology Design and Patterns. Studies on the Semantic Web, vol. 32, pp. 15\u201327. IOS Press, Kobe, Japan (2017)"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Sidorova, E.: Ontology-based approach to modeling the process of extracting information from text [In Russian]. Ontol. Design. 8(1), 134\u2013151 (2018)","DOI":"10.18287\/2223-9537-2018-8-1-134-151"},{"key":"17_CR18","unstructured":"Sidorova, E., Akhmadeeva, I.: The software environment for multi-aspect study of lexical characteristics of text. In: Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID\/RCDL 2019). CEUR Workshop Proceedings, vol. 2523, pp. 306\u2013315 (2019)"},{"key":"17_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1007\/978-3-662-46823-4_9","volume-title":"Perspectives of System Informatics","author":"N Garanina","year":"2015","unstructured":"Garanina, N., Sidorova, E., Bodin, E.: A multi-agent text analysis based on ontology of subject domain. In: Voronkov, A., Virbitskaite, I. (eds.) PSI 2014. LNCS, vol. 8974, pp. 102\u2013110. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-46823-4_9"},{"key":"17_CR20","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.artmed.2017.07.002","volume":"80","author":"J-B Lamy","year":"2017","unstructured":"Lamy, J.-B.: Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies. Artif. Intell. Med. 80, 11\u201328 (2017)","journal-title":"Artif. Intell. Med."},{"issue":"4","key":"17_CR21","doi-asserted-by":"publisher","first-page":"485","DOI":"10.18287\/2223-9537-2016-6-4-485-500","volume":"6","author":"G Zagorulko","year":"2016","unstructured":"Zagorulko, G.: Development of ontology for intelligent scientific internet resource decision-making support in weakly formalized domains [In Russian]. Ontol. Design. 6(4), 485\u2013500 (2016)","journal-title":"Ontol. Design."},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"de Cea, G.A., Gomez-Perez, A., Montiel-Ponsoda, E., Suarez-Figueroa, M.C. Using linguistic patterns to enhance ontology development. In: Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD 2009), pp. 206\u2013213. Funchal - Madeira, Portugal, October 6\u20138, 2009. INSTICC Press (2009)","DOI":"10.5220\/0002300002060213"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86855-0_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T08:51:10Z","timestamp":1725871870000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86855-0_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030868543","9783030868550"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86855-0_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"4 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russian Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taganrog","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rcai2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.rncai.ru\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"80","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}