Knowledge-base reconstruction

摘要

The aim of this paper is the reconstruction of a knowledge base from observational data. The method is concerned with the simplest but current case of relations — binary relations. The knowledge base is then represented by a tree-type oriented graph. Both the structure and the node type are identified, the structure by means of mean mutual information and the node type according to the channel matrix. The relative entropy is used to determine the edges of orientation.