Design and implementation of comprehensive intelligent information service system based on space-network big data

The growing massive scale of space-based information and open-source internet data presents both opportunities and challenges for information activities, particularly in defense information operations. To meet the demands of next-generation information production capabilities and enhance the capacity for collecting, organizing, analyzing, and systematically applying Space-Network big data, this study leverages technologies such as Space-Network information model construction, intelligent open-source data acquisition, and spatiotemporal graph engines to build a comprehensive intelligent information service system. The system establishes an intelligent, efficient, and collaborative ecosystem of intelligence data, technology, and commercial services tailored to vertical domains. Beyond focusing on the collection, governance, and fusion analysis of multi-source intelligence data, the system employs intelligent data agents to achieve advanced capabilities including information traceability, authenticity verification, situational awareness, and predictive warning, providing users across industries with one-stop integrated application services. During the system development, we emphasize the integration of technological innovation and decision support tools, proposing an "Intelligent Data Chain" processing framework that overcomes technical bottlenecks related to the DAOSMOS information model. Guided by the principle of "boundless data, tools, and services," the system constructs a spatiotemporal graph architecture for vertical domains, enabling users to rapidly grasp target dynamics and deeply explore data value. Furthermore, through cross-industry, cross-domain, and cross-system data integration, the system delivers a comprehensive and multidimensional data panorama to empower intelligent decision-making for users in diverse markets.