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.
Authors
- Jerry Mount (ORCID: https://orcid.org/0000-0002-4768-9250)
- David M. Cwiertny (ORCID: https://orcid.org/0000-0001-6161-731X)
- İbrahim Demir (ORCID: https://orcid.org/0000-0002-0461-1242)
- Gabriel Vald (ORCID: https://orcid.org/0009-0007-0769-9669)
- Samrat Shrestha
- Dinesh Jackson Samuel
- Yusuf Sermet
Institutions
- Tulane University (US)
- University of Iowa (US)
- University of Iowa Health Care (US)
- Pittsburg State University (US)
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