Journal article
A novel intelligent expert system for exploring water quality data
Water science and technology, Vol.93(4), pp.411-427
02/01/2026
DOI: 10.2166/wst.2026.199
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, ad-hoc 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.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, ad-hoc 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.
Details
- Title: Subtitle
- A novel intelligent expert system for exploring water quality data
- Creators
- Gabriel Vald - University of IowaYusuf Sermet - University of IowaJerry Mount - University of IowaSamrat Shrestha - University of IowaDinesh Jackson Samuel - Pittsburg State UniversityDavid Cwiertny - University of Iowa, Center for Health Effects of Environmental ContaminationIbrahim Demir - Tulane University
- Resource Type
- Journal article
- Publication Details
- Water science and technology, Vol.93(4), pp.411-427
- DOI
- 10.2166/wst.2026.199
- ISSN
- 0273-1223
- eISSN
- 1996-9732
- Publisher
- IWA Publishing; LONDON
- Grant note
- National Science Foundation: 2137891, 2230710
This project was funded by the National Science Foundation (#2137891, #2230710).
- Language
- English
- Date published
- 02/01/2026
- Academic Unit
- Electrical and Computer Engineering; Center for Health Effects of Environmental Contamination; Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Chemistry; Chemical and Biochemical Engineering
- Record Identifier
- 9985139317402771
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