Abstract: The article examines the issues of improving the control systems for military science work, using the modern advancements in information technologies, implemented as automated control systems and allowing to considerably enhance the efficiency of science work conducted, as well as the adaptivity of military science work on all of its stages - from staging scientific research to realizing its results. The goal of such enhancement is the improvement of productivity of the scientific, construction and testing work conducted, increased efficiency and better science, technical and production qualities of their results. The methods of this research are based on the complex system control theory, informatics, qualimetry of information systems, science research management, system analysis. The conclusion of this study shows that a necessary condition for improving the efficiency and responsiveness of a military science control system is the realization of product lifecycle information support technologies, and that the usage of problem-oriented approaches to improving automated systems of military science work control will improve the responsiveness and adaptability of automated information systems in context of uncertainty, as well as its sensitivity to organizational, legal, methodical and other changes in the control system for military science work.

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.