|Article title||AN EVOLUTIONARY APPROACH TO THE USE OF SPATIAL DATA IN GEOGRAPHIC INFORMATION SERVICES|
|Authors||S.L. Belyakov, A.V. Bozhenyuk, I.N. Rozenberg|
|Section||SECTION I. EVOLUTIONARY MODELLING, GENETIC AND BIONIC ALGORITHMS|
|Month, Year||06, 2015 @en|
|Abstract||The problems of adaptation of geographic information service to increase volume and modification of the spatial database structure are analyzed in this paper. The need to consider the factors changes the informational basis is generated by a visual way of searching and analysis of spatial data users of geographic information service. Traditionally, the decision of any applied problem begins with the construction of the workspace map. The final result of the analysis is determined by the content built workspace. Modern geoinformation systems and services include systems with big data, so the preparation of the original workspace has a complexity that exceeds the complexity of solving applied tasks. Without special measures the quality of the solution becomes low. This paper proposes a solution based on the principle of evolution of technical systems. In this problem, the evolutionary principle is the continuous generation of geoinformation service rules-productions that contains the knowledge of useful for visual analysis of cartographic objects. Rules are considered as hypotheses that require collective support to the clients of the service. Confirmation of any rule represents a selective sampling is useful for further use of knowledge. Thus, the proposed mechanism provides a continuous adaptation to the changing information environment due to the production and selection rules-productions. This paper analyzes the mechanism of generation and determined the structure of the rules-productions. The generation of rules by monitoring user activity, aggregation, generalization and transposition of existing rule sets is considered here. The mechanism of collective acknowledgement of the rules is exam- ined. We propose a new mechanism that uses a network of confirmation, which is based on a common spatial, temporal and semantic objects, classes, and relations within the rules.|
|Keywords||Visualization of spatial data; geographic information systems; intelligent systems; adaptation.|
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