  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.
