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- W4365934983 abstract "The subject of the study is the technical and organizational system of working with knowledge in a large organization. The object of the study is a large organization with a large flow of information. The goal is to develop algorithms for finding the fastest way to find dialogue patterns, given a large amount of input data. On the basis of such algorithms, to develop recommendations for the creation of an intelligent automated control system in a large organization. When building search queries to create a knowledge base, the ideology of ontological modeling is used. The proposed algorithms will allow a large organization with unique business processes to extract the necessary information from the knowledge base and make decisions in the shortest possible time. The created ontological model and recommender system, built on the basis of speech and dialogue patterns, will not only reduce the waiting time for receiving a request, but will also give the most optimal solution. This will reduce the risk of making the wrong decision and the dissatisfaction of potential external participants and members of the organization, which is certainly an economically beneficial factor for it." @default.
- W4365934983 created "2023-04-17" @default.
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- W4365934983 date "2023-01-01" @default.
- W4365934983 modified "2023-09-27" @default.
- W4365934983 title "Creation of an Intelligent Automated Business Process Management System Through Speech and Dialogue Design Patterns" @default.
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- W4365934983 doi "https://doi.org/10.1007/978-3-031-30926-7_2" @default.
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