{"title":"A basic ontology for multi agent system communication in an environmental monitoring system","authors":"V. Di Lecce, C. Pasquale, V. Piuri","doi":"10.1109/CIMSA.2004.1397228","DOIUrl":null,"url":null,"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.","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMSA.2004.1397228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
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.