Database Integration Based on the Selection of Preliminary Knowledge Using a Semantic Network

It is proposed to use a semantic search system to solve the problem of the inadequacy of the key-based data discovery mechanism due to the extraction of a large amount of irrelevant information. An algorithm for detecting knowledge in the semantic network at the stage of selecting the appropriate preliminary knowledge using associated open data to interpret relational databases and unstructured data is presented. A comparative analysis of the results of the used algorithm in traditional methods is performed.