The Building a Patent Landscape for Technological Forecasting Tasks
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-22311-2_31
Reference18 articles.
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2. Korobkin, D., Fomenkov, S., Vereschak, G., Kolesnikov, S., Tolokin, D., Kravets, A.G.: The formation of morphological matrix based on an ontology “patent representation of technical systems” for the search of innovative technical solutions. In: Cyber-Physical Systems, pp. 149–160. Springer, Cham (2021)
3. Yang, C., Huang, C., Su, J.: An improved SAO network-based method for technology trend analysis: A case study of graphene. J. Informet. 12(1), 271–286 (2018)
4. Kim, S., Park, I., Yoon, B.: SAO2Vec: Development of an algorithm for embedding the subject–action–object (SAO) structure using Doc2Vec. PLoS ONE 15(2), e0227930 (2020)
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