Peculiarities of organization of data storage based on intelligent search agent and evolutionary model selection the target information

TL;DR

This paper reviews a data storage system that uses intelligent search agents and evolutionary models to select and organize innovative, thematically segmented information, with applications in business and technological forecasting.

Contribution

It introduces a novel approach combining semantic relevance, evidence theory, and evolutionary modeling for organizing and assessing innovative data objects.

Findings

Validated the computational model's adequacy through experiments

Demonstrated the system's ability to identify significant innovative objects

Showed potential for use in business planning and technological forecasting

Abstract

The article presents a systematic review of the results of the development of the theoretical basis and the pilot implementation of data storage technology with automatic replenishment of data from sources belonging to different thematic segments. It is expected that the repository will contain information about objects with significant innovative potential. The mechanism of selection of such information is based on the determination of its semantic relevance to the generated search queries. At the same time, a quantitative assessment of the innovation of objects, in particular their technological novelty and demand is given. The article describes the accepted indicators of innovation, discusses the application of the theory of evidence for the processing of incomplete and fuzzy information, identifies the main ideas of the method of processing the results of measurements for the calculation of the probabilistic value of the components of innovation, briefly describes the application of the evolutionary approach in the formation of the linguistic model of the archetype of the object, provides information about the experimental verification of the adequacy of the developed computational model. The research results that are described in the article can be used for business planning, forecasting of technological development, information support of investment projects expertise.