Open Semantic Technologies for Intelligent System
10th International Conference, OSTIS 2020, Minsk, Belarus, February 19-22, 2020, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 10th International Conference on Open Semantic Technologies for Intelligent System, OSTIS 2020, held in Minsk, Belarus, in February 2020.
The 14 revised full papers and 2 short papers were...
The 14 revised full papers and 2 short papers were...
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Klappentext zu „Open Semantic Technologies for Intelligent System “
This book constitutes the refereed proceedings of the 10th International Conference on Open Semantic Technologies for Intelligent System, OSTIS 2020, held in Minsk, Belarus, in February 2020.The 14 revised full papers and 2 short papers were carefully reviewed and selected from 62 submissions. The papers mainly focus on standardization of intelligent systems and cover wide research fields including knowledge representation and reasoning, semantic networks, natural language processing, temporal reasoning, probabilistic reasoning, multi-agent systems, intelligent agents.
Inhaltsverzeichnis zu „Open Semantic Technologies for Intelligent System “
Artificial Intelligence standardization is a key challenge for the technologies of the future.- Tools and technologies for creating artificial intelligence systems. What should they be?.- Convergence of Applied Intelligent Systems with Cognitive Component.- Cognitive Knowledge Discovery in Social Sciences.- Ontological approach for standards development within Industry 4.0.- Neuro-symbolic articial intelligence: application for control the quality of product labeling.- Decision-Making Systems based on Semantic Image Analysis.- Intelligent voice assistant based on open semantic technology.- Ontological approach for Chinese language interface design.- Ontological approach for question generation and knowledge control.- Plagiarism Problem Solving based on Combinatory Semantic.- User Prole Ontological Modelling by Wiki-based Semantic Similarity.- Decision Making and Control of a Cognitive Agent's Knowledge Process under Time Constraints.- Interactive Adaptation of Digital Fields in the System GeoBazaDannych.- Neural network data processing technology based on deep belief networks.- Hybrid Intelligent Multi-agent System for Power Restoration.
Bibliographische Angaben
- 2020, 1st ed. 2020, X, 261 Seiten, 66 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Vladimir Golenkov, Victor Krasnoproshin, Vladimir Golovko, Elias Azarov
- Verlag: Springer, Berlin
- ISBN-10: 3030604462
- ISBN-13: 9783030604462
Sprache:
Englisch
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