AI-based environmental information system for decision making in public administrations.

Abstract

Increasingly, AI-based systems will be developed based on the analysis of behaviour and knowledge observed in the environment. The presence of algorithms in the context of environmental management allows the collection of data to design patterns of action. This paper presents a machine-understandable knowledge model scheme that categorises the environmental problems experienced in a water management environment from different analytical points of view. Then, an Artificial Intelligence method for automatic knowledge evaluation and integration is applied. The nature of these actions leads to the construction of more formal and rigorous processes in the future.