Concept Extraction Based on Semantic Models Using Big Amount of Patents and Scientific Publications Data-Reference-Cited by-同舟云学术

Concept Extraction Based on Semantic Models Using Big Amount of Patents and Scientific Publications Data

Published:2021 Issue: Volume: Page:141-149
ISSN:1868-4238
Container-title:Creative Solutions for a Sustainable Development
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Author:

Kaliteevskii Vasilii,Deder Arthur,Peric Nemanja,Chechurin Leonid

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86614-3_11

Reference35 articles.

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2. Altshuller, G., Altov, H.: And Suddenly the Inventor Appeared: TRIZ, The Theory of Inventive Problem Solving. Technical Innovation Center, Inc. (1996)

3. Litvin, S., Petrov, V., Rubin M.: TRIZ Body of Knowledge. The TRIZ Developers summit 2007 (2007). https://triz-summit.ru/en/203941/

4. Cavallucci, D., Khomenko, N.: From TRIZ to OTSM-TRIZ: addressing complexity challenges in inventive design. Int. J. Prod. Dev. 4(1–2), 4–21 (2007)

5. Cascini, G.: State-of-the-art and trends of computer-aided innovation tools. In: Jacquart, R. (ed.) Building the Information Society. IFIP International Federation for Information Processing, vol 156. Springer, Boston, MA (2004). https://doi.org/10.1007/978-1-4020-8157-6_40

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