Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Irina V. Efimenko"'
Autor:
Vladimir F. Khoroshevsky, Serge Minor, Anatoli Starostin, Grigory Drobyazko, Irina V. Efimenko
Publikováno v:
Semantic Web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2a687fb6b41d23ca9652f95bbac1cb4
http://www.intechopen.com/articles/show/title/providing-semantic-content-for-the-next-generation-web
http://www.intechopen.com/articles/show/title/providing-semantic-content-for-the-next-generation-web
Publikováno v:
Artificial Intelligence ISBN: 9783030595340
RCAI
RCAI
An analytical review of R&D in AI-domain within the context of biotechnology, pharmaceutics, and medicine is presented. A comparative discussion of leading analytical agencies latest reports was carried out, and expanded by an analytical review of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b0cfef746526f246427d5d02d9c1493
https://doi.org/10.1007/978-3-030-59535-7_31
https://doi.org/10.1007/978-3-030-59535-7_31
Publikováno v:
Innovation, Technology, and Knowledge Management ISBN: 9783319390543
Anticipating future pathways of Science, Technologies, and Innovations is a complex task in any R&D field and is even more challenging for the complex landscape of promising R&D directions in multiple fields. As a solution, this study analyzes resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6669c0b7e88e1d295fcba63eaef5d86b
https://doi.org/10.1007/978-3-319-39056-7_5
https://doi.org/10.1007/978-3-319-39056-7_5
Publikováno v:
International Journal of Innovation and Technology Management. 14:1740012
A novel domain-independent approach to technology trend monitoring is presented in the paper. It is based on the ontology of a technology trend, hype cycles methodology, and semantic indicators which provide evidence of a maturity level of a technolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d2e48dca24a0f190a88e269aa7c61c2
https://doi.org/10.1142/s0219877017400120
https://doi.org/10.1142/s0219877017400120
Publikováno v:
Artificial Intelligence: Methodology, Systems, and Applications ISBN: 9783319105536
AIMSA
AIMSA
A hybrid approach to automated identification and monitoring of technology trends is presented. The hybrid approach combines methods of ontology based information extraction and statistical methods for processing OBIE results. The key point of the ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d30a3cb85d079ebb637b1fba000ab66
https://doi.org/10.1007/978-3-319-10554-3_16
https://doi.org/10.1007/978-3-319-10554-3_16
Autor:
Vyacheslav Vorobyov, Anatoli Starostin, Viacheslav Seledkin, Grigory Drobyazko, Dmitry Lisitsin, Vladimir F. Khoroshevsky, Irina V. Efimenko, Polina Kananykina, Victor P. Klintsov
Publikováno v:
Autonomous Intelligent Systems: Multi-Agents and Data Mining ISBN: 9783540728382
AIS-ADM
AIS-ADM
This paper deals with the problem of development and implementation of semantic navigation through Web-content. Multi-agent architecture of a solution for Semantic Web and innovative services are presented. In the context of the proposed solution Web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1217f3a40a9da43785f791cc595d1f0
https://doi.org/10.1007/978-3-540-72839-9_2
https://doi.org/10.1007/978-3-540-72839-9_2