CONCEPTUAL PROVISIONS FOR THE FORMATION OF THE CADASTRE OF INTELLECTUAL RESOURCES AS PART OF THE CENTER FOR THE PROCESSING OF CADASTRAL AND OTHER ADDITIONAL INFORMATION

Abstract

Today, the development of cadastral and registration systems has achieved significant results, however, during the analysis of research on the problem of the formation of an integrated cadastral system, difficulties related to the implementation of legislation were revealed. The purpose of this article is to study the formation of a cadastre of intellectual resources for making management decisions based on the results of processing cadastral information from various cadastral systems. During the integration of data from existing cadastres of natural resources, the cadastral information processing center (CPI) from existing cadastres of natural resources is used. The procedure of data interoperability and updating of information in the relevant databases using specially developed software tools is carried out in the CPI. In the CPI, a cognitologist (expert in the subject area) performs the following actions: accepts an application to solve a problem; determines its complexity; if the task is relatively simple, it applies typical knowledge models (production, network, frame, etc.) to solve it, forms a solution and sends it to the customer; if the task is complex and poorly structured or there is not enough initial data to develop a solution, then it determines the software, performs a search for experts in the inventory of intellectual resources, organizes the examination and develops models that will contribute to the solution of the task, forms a solution and sends it to the customer. It is possible to increase the performance of the cadastral systems by creating integrated databases of geospatial data of various cadastres and implementing special programs (systems) with decision-making support. Such systems are called intelligent geo-information systems or intellectual cadastres, the feature of which is the application of natural human intelligence and artificial intelligence when solving complex poorly structured tasks presented in the knowledge base as expert knowledge models. The basis of the cadastre of intellectual resources is information on the ratings of scientific and pedagogical workers of higher education institutions, as well as scientists of other scientific, scientific and industrial divisions, design bureaus, etc. Also, an important role during the selection of experts among scientific and pedagogical workers is played by a scientific degree, an academic title, as well as the subject area of scientific research of scientific and pedagogical workers, which is identified with a specialty.