A Survey Paper on FloatChat : AI-Powered ARGO Ocean Data Discovery and Visualization
Year: 2026
Type: article
Abstract: 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.
Authors: P Chaitali Gauri, Rishi Yadav, Dinakar M
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7147124231
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