A novel intelligent expert system for exploring water quality data

Despite advancements in environmental monitoring, the gap between data collection and user-friendly data interpretation remains. This paper introduces the Artificial Intelligence Data Expert (AI-DE), a novel data analytics system designed to facilitate on-demand analysis of time-series monitoring data for water quality using natural language queries. The AI-DE leverages features of ChatGPT, including named entity recognition, geocoding, and sentiment analysis, enabling natural language-based data analysis. This system allows for immediate, <i>ad-hoc</i> querying and interpretation of environmental data, tailored to the needs of diverse user groups. Key features include chat controls that customize user interaction, a chat bypass enabling data synchronization with an information system, and a data interpretation mode for detailed analysis. The AI-DE enhances user engagement with an understanding of water quality data, aiming to support informed decisions and actions for environmental management. The AI-DE represents a step forward in increasing access to complex environmental data through conversational AI technologies.

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Publication Details

Journal
Water Science & Technology
Published
2026-01-20
DOI
https://doi.org/10.2166/wst.2026.199
Primary Topic
Environmental Monitoring and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A novel intelligent expert system for exploring water quality data

Jerry Mount, David M. Cwiertny, İbrahim Demir, Gabriel Vald et al.
Water Science & Technology
Environmental Monitoring and Data Management
article

A novel intelligent expert system for exploring water quality data

Jerry Mount, David M. Cwiertny, İbrahim Demir, Gabriel Vald, Samrat Shrestha, Dinesh Jackson Samuel, Yusuf Sermet
article en

Abstract

Despite advancements in environmental monitoring, the gap between data collection and user-friendly data interpretation remains. This paper introduces the Artificial Intelligence Data Expert (AI-DE), a novel data analytics system designed to facilitate on-demand analysis of time-series monitoring data for water quality using natural language queries. The AI-DE leverages features of ChatGPT, including named entity recognition, geocoding, and sentiment analysis, enabling natural language-based data analysis. This system allows for immediate, <i>ad-hoc</i> querying and interpretation of environmental data, tailored to the needs of diverse user groups. Key features include chat controls that customize user interaction, a chat bypass enabling data synchronization with an information system, and a data interpretation mode for detailed analysis. The AI-DE enhances user engagement with an understanding of water quality data, aiming to support informed decisions and actions for environmental management. The AI-DE represents a step forward in increasing access to complex environmental data through conversational AI technologies.

Water Science & TechnologyVol. 93(4)
Tulane University (US), University of Iowa (US), University of Iowa Health Care (US), Pittsburg State University (US)
Clean water and sanitation
Openalex Percentile: Top 61%
Environmental Monitoring and Data Management
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