Power Series Representation Model of Text Knowledge Based on Human Concept Learning

How to build a text knowledge representation model, which carries rich knowledge and has a flexible reasoning ability as well as can be automatically constructed with a low computational complexity, is a fundamental challenge for reasoning-based knowledge services, especially with the rapid growth o...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2014-01, Vol.44 (1), p.86-102
Hauptverfasser:	Luo, Xiangfeng, Zhang, Jun, Ye, Feiyue, Wang, Peng, Cai, Chuanliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Association rules Cognition Cognitive informatics Computation Computational modeling Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology General aspects human concept learning Hypotheses Knowledge representation Linearity Occupational training. Personnel. Work management OWL semantic search Software Speech and sound recognition and synthesis. Linguistics text understanding Theoretical computing
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