A knowledge base construction and partial order structure graph generation method based on incremental learning

Abstract

The invention discloses a knowledge base construction and partial order structure graph generation method based on incremental learning. The incremental learning idea based on the covering principle is adopted to guide the covering operation of attribute and object set, and the special set such as attribute database is constructed by special covering relation, and then the formal background is generated, and the redundant pattern is deleted. On the basis of formal background, the algorithm of computer generation is to get the precise coordinate location of each concept node by computing the hierarchical pattern matrix, and to complete the dynamic construction of partial order structure graph by synthesizing the elements of hierarchy, node, line and so on, and introducing incremental learning algorithm. Compared with the prior art, the invention combines the incremental learning based on the covering principle and the construction algorithm of the partial order structure graph to realize the dynamic construction of the knowledge concept base and the automatic generation of the hierarchical pattern matrix. The progressive construction of partial order structure graph is realized.

Description

technical field [0001] The invention relates to the technical field of dynamic construction of knowledge bases and progressive construction of partial sequence structure diagrams, in particular to a dynamic construction of knowledge bases based on incremental learning and a method for progressive generation of partial sequence structure diagrams. Background technique [0002] Starting from the philosophical principles of human cognition, the process of learning knowledge is gradual, and it is impossible to learn all the knowledge at once, and the initial learning is to learn a part first, forming a fixed model, and the subsequent knowledge learning is carried out on the original basis The process of pattern classification, from this learning process, the learned knowledge will become more and more complete, and the pattern learning will become more abundant. When the amount of learning reaches a certain limit, the pattern will gradually become complete, and the redundant know...

AI Technical Summary

Problems solved by technology

However, at present, the composition of the partial order diagram needs to obtain complete concepts at one time for batch construction, that is, the prerequisite for the construction of the formal background needs to obtain all the concepts, and generate attribute partial order structure diagrams in batches, which does not fully comply with the progressive construction knowledge model. way of thinking

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