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 Multy Agent System Communication in an Environmental Monitoring System / DI LECCE, Vincenzo; Pasquale, C.; Piuri, V.. - (2004), pp. 45-50. (Intervento presentato al convegno IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA. 2004 tenutosi a Boston, MA nel July 14-16, 2004) [10.1109/CIMSA.2004.1397228].
A Basic Ontology for Multy Agent System Communication in an Environmental Monitoring System
DI LECCE, Vincenzo;
2004-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
