Оптимизация достоверности информации на основе базы электронных документов и особенностей правил контроля базы знаний

In this article has been formulated problem of increasing the information reliability in electronic document management systems based on the use of algorithms based on performing typical functions of search, recognition, classification, generation, translation of texts from one language to another, as well as monitoring and correcting errors of various multiplicity. The use of information redundancy of various nature, in particular, statistical, natural, structural, technological, semantic, has been substantiated and conceptual principles, methods, algorithms and software have been developed to increase information reliability. The control principle of the fidelity of elements, key concepts (words, phrases, terms) is proposed by comparing the entered document with the reference document - the original, as well as evaluating the information reliability based on the discrepancy coefficient. Algorithms have been developed that use logical, semantic, and structural-technological links between elements of document, moreover the tools have been obtained for using cross-relationships between individual records or groups of records as part of an information frame. Instruments of information control are designed based on selected elements of the knowledge base (KB) and the use of expert systems (ES). Algorithms for optimizing the allocation of ED with a variety of elements, attributes, concepts, fractal characteristics in databases (DB) and KB with the use of genetic search algorithms to select a document with the desired characteristics are proposed. The analysis results of proximity measure of document elements depending on the volume of the processed information and the probability of not detecting errors by the synthesized algorithm are obtained, and the effectiveness of the technology according to the complexity of information processing is investigated.

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