Abstract
This paper describes the problem of strategic analysis and the choice of directions for the developmentof an innovative enterprise in the conditions of transition to the 6th technological order andindustry 4.0. In these conditions, search and analytical processing of information cannot be fully performedwithout the use of automated information and analytical systems, including those based on artificialintelligence. During the analysis, the main priority functions that the developed services shouldprovide were identified. The main difficulties in the development of these services are identified, such as:pre-processing of data and automated checking of the relevance of databases. To effectively solve thetasks set, the intelligent monitoring and information retrieval service should use an integrated approach,taking into account the effectiveness of applying methods for individual subtasks, and ensure high efficiencyof implementing all stages of the intelligent monitoring procedure. In this regard, this paper describesnot only the development of a general intelligent search algorithm, but also individual blockalgorithms necessary to ensure the priority functions of the service being developed. The paper presentsthe following algorithms: an information search algorithm necessary to solve the problem of full-textsearch of documents within the database of information resources of the information and analyticalcomplex; an algorithm for the procedure for entering new documents; an algorithm for pre-processingdata that includes stemming and removing punctuation marks for subsequent text analysis; an algorithmfor evaluating the ranking and relevance of information, including vectorization of documents; an algorithmfor clustering information search results based on the Kohonen neural network; the algorithm forchecking the relevance of information is to check whether the local copy of the document corresponds tothe current version on the source's web resource. The Python programming language for the implementationof the presented algorithm is proposed and justified. The system provides automated continuousmonitoring with a high frequency of sending a request without the participation of an operator, whichwill increase the quality and efficiency of information search in conditions of a large volume of unstructuredinformation.
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