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Knowledge Reasoning System Architecture Based on Description Logic

Fuzhen Sun, Shengang Hao

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Abstract

This paper investigates an extension to description logic based knowledge reasoning by means of decomposing and rewriting complicated hybrid concepts into partitions. An approach which automatically decomposes the whole knowledge base into description logic compatible and constraints solver, is presented. System architecture for knowledge reasoning is two-fold. First, complex description logics with powerful representation ability and Second, how to reason with the combination of inferences from distributed heterogeneous reasoner.

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What this paper is about

This paper investigates an extension to description logic based knowledge reasoning by means of decomposing and rewriting complicated hybrid concepts into partitions. An approach which automatically decomposes the whole knowledge base into description logic compatible and constraints solver, is presented. System architecture for knowledge reasoning is two-fold. First, complex description logics with powerful representation ability and Second, how to reason with the combination of inferences from distributed heterogeneous reasoner.

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Available abstract

This paper investigates an extension to description logic based knowledge reasoning by means of decomposing and rewriting complicated hybrid concepts into partitions. An approach which automatically decomposes the whole knowledge base into description logic compatible and constraints solver, is presented. System architecture for knowledge reasoning is two-fold. First, complex description logics with powerful representation ability and Second, how to reason with the combination of inferences from distributed heterogeneous reasoner.

Key concepts: Semantic reasoner, Description logic, Computer science, Knowledge representation and reasoning, Knowledge base, Rewriting, Non-monotonic logic, Extension (predicate logic)

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