Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level

Abstract

The paper considers the main aspects of modern technologies applied for knowledge analysis to obtain information from Big Data. The analysis of the current state of research in this area shows that background knowledge subject areas of user interest represented by domain ontologies can be used both in order to effectively analysis of information acquried from certain sets of Big Data, and to make this acquisition more useful. With the help of such ontologies, users can formally describe the scope of their information needs, define the structure of the required information objects and explicitly highlight critical for current task domain aspects. Subject of rocessing in the semantics analysis of Big Data is their metadata usually represented by unstructured natural language text. We need to standardize the representation of meta-descriptions wit use of appropriate ontologies that determine the structure and content of individual elements of metadata.