Speaker
Description
Confronted with the challenges of governing massive and heterogeneous datasets, the efficiency bottlenecks of traditional data service models, and the mission of supporting cutting-edge AI4S innovation, the China-VO, or National Astronomical Data Center (NADC), has systematically planned and implemented a next-generation astronomical data service system characterized by “Digital-Intelligent Integration”. This talk first presents a comprehensive description of the system. A standardized and intelligent data service layer is established with IVOA specification based APIs and the Model Context Protocol (MCP) as dual cores. An one-stop research support layer is built upon the cloud-based scientific research platform, the China-VO Science Platform, which deeply integrates data, software, computing resources, and models. An open and collaborative application ecosystem layer is cultivated through deep engagement with major scientific projects, innovation in science–education integration models, disciplinary and talent development, expansion of citizen science initiatives, and strengthened international collaboration. The talk focuses on analyses of successful practices within this system, including standardized and intelligent services for the LAMOST astronomical spectral database, AI agent-driven time-domain astronomical discovery with EP satellites, and citizen science programs. These cases demonstrate the system’s significant effectiveness in enhancing intelligent data provision, lowering the barriers to adopting advanced AI technologies, and empowering discoveries in time-domain astronomy.
