Distributed Knowledge Base System

One of the main problems of any distributed system is the analysis of the properties of the obtained data and their further use for logical reasoning. To achieve this goal and accelerate the processing time is necessary in the first phase of the system for the development of the intellectualization control data. The creation of efficient and adaptive distribution can significantly speed up the processing velocity. Thus, the relevant direction of the research is distributed knowledge based systems. The goal of the work was the models of the distributed knowledge based systems and methods for structuring the system. The novelty of the work consisted in the identification of the main artifacts of a distributed knowledge based system. The formal model of the system consisted of a set of ontologies; lots of services; a set of events that describe the processes of the system; semantic service; a set of composite services and knowledge base. In the system under study, the semantic web technologies were used to examine the data, their processing and inference. The completeness and effectiveness of the system was determined by a multitude of ontologies. The main difference in the distributed knowledge based systems was the use of the service approach and ontologies in knowledge engineering. In this case, three methods for structuring the system have been proposed. The time spent for publishing the service in each method is different, but the complexity of the provider is also different.