Air quality monitoring system is characterized by a large number of information sources used by experts capable of understanding the effects of single pollutants. By using an adequate ontological approach, it is possible to define a system having the ability of doing data mining and giving information to unskilled users too. To do this, we propose in this paper a multiagent system (MAS), layered in five levels, suitable to supply answer to a query characterized by a high semantic level. This is possible using progressive interpreting/multiplying techniques of a complex query in simple queries according with well-known compilers and OS theories. We develop a multiagent system that assists users in generating a uniform description for each information source, using descriptive domain ontology. Users and agents can query the extracted data using a standard querying interface. The ultimate goal is to provide useful information to users, supporting distributed workflow management environments.

A basic ontology for multi agent system communication in an environmental monitoring system / V. Di Lecce, C. Pasquale, V. Piuri - In: 2004 IEEE international conference on computational intelligence for measurement systems and applications (CIMSA) : Boston, MA, july 14-16Piscataway : Institute of electrical and electronics engineers, 2004. - ISBN 0780383419. - pp. 45-50 (( convegno International Conference on Computational Intelligence for Measurement Systems and Applications tenutosi a Boston nel 2004.

A basic ontology for multi agent system communication in an environmental monitoring system

V. Piuri
Ultimo
2004

Abstract

Air quality monitoring system is characterized by a large number of information sources used by experts capable of understanding the effects of single pollutants. By using an adequate ontological approach, it is possible to define a system having the ability of doing data mining and giving information to unskilled users too. To do this, we propose in this paper a multiagent system (MAS), layered in five levels, suitable to supply answer to a query characterized by a high semantic level. This is possible using progressive interpreting/multiplying techniques of a complex query in simple queries according with well-known compilers and OS theories. We develop a multiagent system that assists users in generating a uniform description for each information source, using descriptive domain ontology. Users and agents can query the extracted data using a standard querying interface. The ultimate goal is to provide useful information to users, supporting distributed workflow management environments.
Air pollution measurement ; Environmental science computing ; Monitoring ; Multi-agent systems ; Ontologies (Artificial intelligence).
Settore INF/01 - Informatica
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/142452
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