Yanin D.M., Barkovskiy S.S. Technology of classification and identification of duplications of intellectual property in automated systems

Abstract: The article reviews a procedure of solving the uncertainty in identifying the similarities and duplications between the results of intellectual activity, due to the presence of semantic and pragmatic ambiguity in natural language form of results description. The aim of the study is to provide identification of duplicate results of intellectual activity in an automated mode, in which experts only manage its settings by determining the composition of the classifiers used in the construction of relations of similarity, simplification of inter-agency coordination based on the results of intellectual activity and integrity of the database, as well as increasing the reliability and efficiency of the procedure identifying duplicate the results of intellectual activity by combining the frequency-semantic methods and formalized expert knowledge. The research methodology is based on a system analysis, pattern recognition, synthesis databases and knowledge bases, the automatic processing of natural language texts. The authors developed an approach for building knowledge bases classes for information representations of the results of intellectual activity that would classify its different types and systematize knowledge about the classes of intellectual property through the use of the author's method of automated classification and identification of duplications of intellectual property.

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