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Semantic Intellectual System Development

Boyko, Igor; Martynov, Victor

HPL-2001-219

Keyword(s): knowledge representation; semantics; SIS

Abstract: Knowledge representation (KR) is one of the most important sub-fields of Artificial Intelligence field. This article considers perspective of using the USC (Universal semantic code) KR model for semantic intellectual systems (SIS development and demonstrates main principles of USC for KR. Besides, since the USC gives a possibility of inventive problems solving by semantic tools we compare USC tools with tools of Theory of inventive problem solving (TIPS) and explain of its combination profit. Notes: To be presented at the Seventh International Conference on Information Networks and Systems, Technologies, October 2-4, 2001, Minsk, Belarus

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