Research on Automatic Semantic Integration Approach of Linked Data
Zhang Jun-l · Jisuanji fangzhen · 2014
Study automatic semantic correlation data fusion method,increase the degree of the semantic integration of associated data. Using the traditional algorithm for automatic semantic integration of data,often only on the same data fusion of knowledge unit,assume that for different knowledge unit,data fusion for different attribute correlation data,the data between the semantic integration difficult to achieve. Therefore,based on concepts of relevance and importance of measurement algorithm of automatic semantic correlation data fusion method. In view of the automatic semantic correlation calculation correlation data,in order to avoid for high-end semantic discriminant error,using semantic concept semantic association screening,access to the concept of probability,selected according to the improved algorithm steps to realize the further integration of automatic semantic correlation data. Experimental results show that the improved algorithm for automatic semantic of associated data fusion,could obtain the effective choice correlation automatic semantic concepts and semantic correlation value,so as to realize the automatic semantic of associated data fusion,improve the degree of automatic semantic integration,has a great advantage.