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A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine

Yousheng Tian, Yingxu Wang, Marina L. Gavrilova, Guenther Ruhe

Source Title: International Journal of Software Science and Computational Intelligence (IJSSCI)3(4)

ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781613509203|DOI: 10.4018/jssci.2011100101

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MLA

Tian, Yousheng, et al. "A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine." IJSSCI vol.3, no.4 2011: pp.1-17. http://doi.org/10.4018/jssci.2011100101

APA

Tian, Y., Wang, Y., Gavrilova, M. L., & Ruhe, G. (2011). A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine. International Journal of Software Science and Computational Intelligence (IJSSCI), 3(4), 1-17. http://doi.org/10.4018/jssci.2011100101

Chicago

Tian, Yousheng, et al. "A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine," International Journal of Software Science and Computational Intelligence (IJSSCI) 3, no.4: 1-17. http://doi.org/10.4018/jssci.2011100101

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Abstract

It is recognized that the generic form of machine learning is a knowledge acquisition and manipulation process mimicking the brain. Therefore, knowledge representation as a dynamic concept network is centric in the design and implementation of the intelligent knowledge base of a Cognitive Learning Engine (CLE). This paper presents a Formal Knowledge Representation System (FKRS) for autonomous concept formation and manipulation based on concept algebra. The Object-Attribute-Relation (OAR) model for knowledge representation is adopted in the design of FKRS. The conceptual model, architectural model, and behavioral models of the FKRS system is formally designed and specified in Real-Time Process Algebra (RTPA). The FKRS system is implemented in Java as a core component towards the development of the CLE and other knowledge-based systems in cognitive computing and computational intelligence.

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A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine

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