Knowledge structures in a knowledge base

descriptionPublicationkeyboard_double_arrow_right Article 07 Nov 2016 English Publisher:WileyJournal:Expert Systems, volume 33, pages 581-591 (issn: 0266-4720, eissn: 1468-0394,

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Authors: Zhaowen Li; Qingguo Li; Rongrong Zhang; Ningxin Xie;

doi: 10.1111/exsy.12183

Knowledge structures in a knowledge base

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Abstract

AbstractRough set theory is a useful tool for dealing with imprecise knowledge. One of the advantages of rough set theory is the fact that an unknown target concept can be approximately characterized by existing knowledge structures in a knowledge base. This paper explores knowledge structures in a knowledge base. Knowledge structures in a knowledge base are firstly described by means of set vectors and relationships between knowledge structures divided into four classes. Then, properties of knowledge structures are discussed. Finally, group, lattice, mapping, and soft characterizations of knowledge structures are given.

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