DECOMPOSITIONAL METHODS OF SYSTEM ANALYSIS IN THE OPTIMIZATION AND COOPERATIVE EVOLUTION OF INTERACTIVE GEOINFORMATIONAL SERVICES

Decompositional methods of system analysis are investigated for optimizing interactive geoinformational services (IGIS) through synergistic integration, consolidated cooperation, and adaptation to various domains, tasks, and data. Key mechanisms of IGIS evolution (energetic, informational, network, genetic, communicational, and cooperational) are defined, which form a comprehensive strategy for their development. An ontological system of IGIS interaction within domain clusters is proposed, which provides a semantic basis for joint solution of complex tasks. In accordance with the INSPIRE paradigm, a model of transdomain infrastructure of geospatial data is developed, which increases the interoperability of services in the web medium. The effectiveness of IGIS cooperation is shown in the example of optimizing emergency service routes in a megalopolis using game theory. Keywords: interactive geoinformational service, INSPIRE, cooperation, evolution, synergy, map content, virtual image of the situation, ontology, decomposition, domain convergence clusters, conflict, strategy, gain matrix, Pareto-optimal solution, adaptability, interoperability, integration, applied tasks.