An agent-based middleware for environmental information management
Abstract
Managing environmental information is a demanding task, which engages serious amounts of efforts by environmental scientists working in public institutes or the industrial sector. In order to reduce the workload required and disengage environmental scientists from trivial tasks, as data transformation and reviewing, we developed an Agent-based Middleware for Environmental Information Management (AMEIM for short). Our approach, presented in this paper, utilizes software agents that undertake environmental data management tasks. Software agents in AMEIM are capable to fuse and preprocess environmental data. Taking under account the requirements of the application domain, AMEIM’s core functionalities, the agent-based architecture and the platform developed in Java are detailed. The AMEIM system is fully customizable and follows an extendable architecture. Also, reasoning capabilities can be incorporated into AMEIM agents for supporting decision-support features.
Download full text in pdf format
Published as:
I. N. Athanasiadis,
A. Solsbach,
P. A.Mitkas,
J. Marx-Gómez,
An agent-based middleware for environmental information management,
2nd Intl Symp on Information Technologies in Environmental Engineering (ITEE 2005), pg. 253-267,
2005, Shaker Verlag.
You might also enjoy (View all publications)
- Domain adaptation with transfer learning for pasture digital twins
- Causality and Explainability for Trustworthy Integrated Pest Management
- Breeding Programs Optimization with Reinforcement Learning