Combined Method for Integration of Heterogeneous Ontology Models for Big Data Processing and Analysis

In the given paper a combined method for integration of heterogeneous ontology for big data processing and analysis is proposed. This allows perform semantic search through heterogeneous information resources, represented by different ontologies. The fundamental difference of the proposed approach is that it allows obtaining optimal weights on the basis of which the optimal alignment of ontologies is carried out. Performed calculations validate the productivity of the proposed method.