arXiv:2607.02387v1 Announce Type: cross Abstract: NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right one is hard even for domain experts. We present an agentic search system, deployed as a public service for the geoscience community, that takes a natural-language research query and returns the matching datasets and tools. We demonstrate that, in the era of large language models, the latent value of knowledge graphs (KGs) can be substantially amplified through agentic search. From the N
The proliferation of complex datasets from sources like NASA, combined with advances in large language models, makes this the opportune time for more sophisticated data discovery tools.
This development addresses a critical bottleneck in scientific research by making vast, complex geoscience data accessible to a broader user base through natural language interfaces and agentic systems.
The ability of researchers to rapidly find and utilize relevant Earth observation data is significantly enhanced, transforming how scientific queries are formulated and answered.
- · Geoscience researchers
- · NASA
- · AI agents developers
- · Knowledge graph integrators
- · Manual data discovery processes
- · Proprietary search engines without advanced AI integrations
Scientific discovery and productivity in geoscience significantly improve due to easier access to relevant data.
The agentic search paradigm expands to other complex scientific domains, accelerating research across various fields.
New interdisciplinary research areas emerge as previously siloed datasets become easily discoverable and combinable through advanced AI agents.
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Read at arXiv cs.LG