{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:58:30Z","timestamp":1742961510832,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030811990"},{"type":"electronic","value":"9783030812003"}],"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\/978-3-030-81200-3_15","type":"book-chapter","created":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T17:04:55Z","timestamp":1626368695000},"page":"204-215","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Driven Detection of Technological Trajectories"],"prefix":"10.1007","author":[{"given":"Sergey","family":"Volkov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitry","family":"Devyatkin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilya","family":"Tikhomirov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilya","family":"Sochenkov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,16]]},"reference":[{"issue":"3","key":"15_CR1","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/0048-7333(82)90016-6","volume":"11","author":"G Dosi","year":"1982","unstructured":"Dosi, G.: Technological paradigms and technological trajectories: a suggested interpretation of the determinants and directions of technical change. Res. Policy 11(3), 147\u2013162 (1982)","journal-title":"Res. Policy"},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-3-030-30763-9_12","volume-title":"Artificial Intelligence: RCAI 2019","author":"SS Volkov","year":"2019","unstructured":"Volkov, S.S., Devyatkin, D.A., Sochenkov, I.V., Tikhomirov, I.A., Toganova, N.V.: Towards automated identification of technological trajectories. In: Kuznetsov, S.O., Panov, A.I. (eds.) Artificial Intelligence: RCAI 2019, pp. 143\u2013153. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-30763-9_12"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Coccia, M., Watts, J.: A theory of the evolution of technology: technological parasitism and the implications for innovation management. J. Eng. Technol. Manag. 55, 101552 (2020)","DOI":"10.1016\/j.jengtecman.2019.11.003"},{"key":"15_CR4","series-title":"Lecture Notes in Morphogenesis","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-319-24403-7_5","volume-title":"Creativity and Universality in Language","author":"V Loreto","year":"2016","unstructured":"Loreto, V., Servedio, V.D.P., Strogatz, S.H., Tria, F.: Dynamics on expanding spaces: modeling the emergence of novelties. In: Degli Esposti, M., Altmann, E.G., Pachet, F. (eds.) Creativity and Universality in Language. LNM, pp. 59\u201383. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-24403-7_5"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Napolitano, L., et al.: Technology networks: the autocatalytic origins of innovation. R. Soc. Open Sci. 5(6), 172445 (2018)","DOI":"10.1098\/rsos.172445"},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Luo, C., Zhou, L., Wei, Q.: Identification of research fronts in artificial intelligence. In: 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), pp. 104\u2013108. IEEE (2017)","DOI":"10.1109\/ACIRS.2017.7986074"},{"issue":"8","key":"15_CR7","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1080\/09537325.2016.1180356","volume":"28","author":"L Ardito","year":"2016","unstructured":"Ardito, L., Messeni, P.A., Panniello, U.: Unveiling the breakthrough potential of established technologies: an empirical investigation in the aerospace industry. Technol. Anal. Strateg. Manag. 28(8), 916\u2013934 (2016)","journal-title":"Technol. Anal. Strateg. Manag."},{"key":"15_CR8","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.techfore.2019.03.014","volume":"144","author":"Y Zhou","year":"2019","unstructured":"Zhou, Y., et al.: Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies. Technol. Forecast. Soc. Chang. 144, 205\u2013220 (2019)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"15_CR9","unstructured":"Zou, W., et al.: Clustering approach based on Von Neumann topology artificial bee colony algorithm. In: Proceedings of the International Conference on Data Mining (DMIN) \u2013 The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), p. 1 (2011)"},{"issue":"1","key":"15_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11192-019-03191-z","volume":"121","author":"X Wang","year":"2019","unstructured":"Wang, X., Ren, H., Chen, Y., Liu, Y., Qiao, Y., Huang, Y.: Measuring patent similarity with SAO semantic analysis. Scientometrics 121(1), 1\u201323 (2019). https:\/\/doi.org\/10.1007\/s11192-019-03191-z","journal-title":"Scientometrics"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Kelly, B., et al.: Measuring technological innovation over the long run. National Bureau of Economic Research. No. w25266 (2018)","DOI":"10.3386\/w25266"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Norman, C.: Technical Term Extraction Using Measures of Neology (2016)","DOI":"10.18653\/v1\/W15-3602"},{"issue":"3","key":"15_CR13","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/0020-0255(75)90036-5","volume":"8","author":"LA Zadeh","year":"1975","unstructured":"Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning\u2014I. Inf. Sci. 8(3), 199\u2013249 (1975). https:\/\/doi.org\/10.1016\/0020-0255(75)90036-5","journal-title":"Inf. Sci."},{"key":"15_CR14","unstructured":"Search for patents\u2013USPTO. https:\/\/www.uspto.gov\/patents-application-process\/search-patents. Accessed 30 July 2020"},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/978-3-319-14194-7_14","volume-title":"Novel Applications of Intelligent Systems","author":"G Osipov","year":"2016","unstructured":"Osipov, G., Smirnov, I., Tikhomirov, I., Sochenkov, I., Shelmanov, A.: Exactus expert\u2014search and analytical engine for research and development support. In: Hadjiski, M., Kasabov, N., Filev, D., Jotsov, V. (eds.) Novel Applications of Intelligent Systems, pp. 269\u2013285. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-14194-7_14"},{"key":"15_CR16","unstructured":"Dataset trajectories-uspto-v2. http:\/\/nlp.isa.ru\/trajectories-uspto-v2. Accessed 19 May 2020"},{"issue":"5","key":"15_CR17","doi-asserted-by":"publisher","first-page":"321","DOI":"10.3103\/S0147688215050081","volume":"42","author":"RE Suvorov","year":"2015","unstructured":"Suvorov, R.E., Sochenkov, I.V.: Establishing the similarity of scientific and technical documents based on thematic significance. Sci. Tech. Inf. Process. 42(5), 321\u2013327 (2015). https:\/\/doi.org\/10.3103\/S0147688215050081","journal-title":"Sci. Tech. Inf. Process."},{"issue":"4","key":"15_CR18","first-page":"17","volume":"29","author":"RN Foster","year":"1986","unstructured":"Foster, R.N.: Working the S-curve: assessing technological threats. Res. Manag. 29(4), 17\u201320 (1986)","journal-title":"Res. Manag."},{"issue":"4","key":"15_CR19","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/s001910050093","volume":"9","author":"B Andersen","year":"1999","unstructured":"Andersen, B.: The hunt for S-shaped growth paths in technological innovation: a patent study. J. Evol. Econ. 9(4), 487\u2013526 (1999)","journal-title":"J. Evol. Econ."},{"key":"15_CR20","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)"},{"key":"15_CR21","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, pp. 1188\u20131196 (2014)"},{"key":"15_CR22","unstructured":"Peters, M.E., et al.: Deep contextualized word representations. In: Proceedings of NAACL-HLT, pp. 2227\u20132237 (2018)"}],"container-title":["Communications in Computer and Information Science","Data Analytics and Management in Data Intensive Domains"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-81200-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T17:30:52Z","timestamp":1626370252000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-81200-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030811990","9783030812003"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-81200-3_15","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"16 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DAMDID\/RCDL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Data Analytics and Management in Data Intensive Domains","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Voronezh","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"damdid2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/damdid2020.cs.vsu.ru\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","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":"16","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":"0","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":"27% - 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":"3","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":"3.8","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)"}}]}}