Towards a universal knowledge representation language for ubiquitous intelligence based on mental image directed semantic theory

Authors:
Masao Yokota
Affiliations:
Department of System Management, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Japan
Venue:
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Year:
2006

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Abstract

Towards an ideal ubiquitous computing environment, M.Yokota et al have already presented the concept of Distributed Intelligent Robot Network (DIRN) consisting of one brain node and numerous sensor and actor nodes with human-friendly interfaces. In order for well-coordinated DIRNs, it is essential to develop a formal knowledge representation language such as is universal for any kinds of devices and enlightens them enough to communicate with ordinary people naturally and to compute about and act upon their environments appropriately. For this purpose, the author has developed a formal language Lmd and been applying it to integrated multimedia understanding and various cross-media operations in simulation of DIRN-world interaction.