Survey paper presents FloatChat, an AI interface that enhances ocean data discovery using natural language queries, implying improved accessibility.
The rise of conversational AI systems has transformed the way researchers, policymakers, and students interact with complex datasets. In oceanography, the ARGO program provides a vast repository of ocean profile data collected from thousands of autonomous floats. However, navigating and extracting meaningful insights from this massive dataset remains a challenge for non-specialists. FloatChat is an AI-powered conversational interface designed to bridge this gap by enabling users to interact with ARGO ocean data through natural language queries. By integrating conversational AI with visualization tools, FloatChat makes ocean data discovery more intuitive, accessible, and actionable. This paper presents an overview of FloatChat, its architecture, advantages, challenges, and its positioning within the broader landscape of data-driven conversational systems.
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Gauri et al. (2026) studied this question.
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