Decomposing and Rewriting Semantic Product Data Model Based on the Expressive Language ALCNHR*K(D) and Description Logic

Abstract

To represent the fully developed semantic product knowledge model, ALCNHR+K(D)expressive language has been acquainted. The expressive language is not only a simple language for represent knowledge about constraints and real domain but it is a rich with rules and reasoning, which help in hypothesis model in closed world of semantic. The decomposing and rewriting semantic product data model based on the expressive language has been investigated. In this paper decomposes the complete knowledge base automatically has been presented with constraints solver and description logic. In this paper, researchers point of view there are two different decidedly aspects. First, the capability of dominant representation of complex description logics has lack successful reasoning ability. Second aspect is how effectively and efficiently reason with various reasoner.