A Survey Paper on FloatChat : AI-Powered ARGO Ocean Data Discovery and Visualization

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

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19348036
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Survey Paper on FloatChat : AI-Powered ARGO Ocean Data Discovery and Visualization

Rishi Yadav, P Chaitali Gauri, Dinakar M
Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

A Survey Paper on FloatChat : AI-Powered ARGO Ocean Data Discovery and Visualization

Rishi Yadav, P Chaitali Gauri, Dinakar M
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Life below water
Openalex Percentile: Top 8%
Data Visualization and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.