{"title":"基于领域本体的汽轮机诊断系统采用J2EE技术实现","authors":"Klai Sihem, Khadir M. Tarek, J. Ringwood","doi":"10.1109/ICSCS.2009.5412694","DOIUrl":null,"url":null,"abstract":"This paper describes the design and the implementation of an aided diagnostic system based on a domain ontology and an expert system. A mono ontology obtained from multiple CCOs (Canonical Conceptual Ontologies) constitutes the knowledge base of the Expert System. The NCCO (Non Canonical Conceptual Ontology) are defined and used for realising inter-CCO mapping and to express the relationships between the COO. An expert system JESS (Java Expert System Shell) is integrated with the ontology. Knowledge inference is then possible to solve maintenance cases by given adequate diagnoses to given symptoms. The second aspect of the paper focuses on the possible enhancement and evolution of the developed ontology in order to take into account new maintenance cases. The complete system is developed following a J2EE (Java 2 Enterprise Edition) architecture.","PeriodicalId":126072,"journal":{"name":"2009 3rd International Conference on Signals, Circuits and Systems (SCS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology\",\"authors\":\"Klai Sihem, Khadir M. Tarek, J. Ringwood\",\"doi\":\"10.1109/ICSCS.2009.5412694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the design and the implementation of an aided diagnostic system based on a domain ontology and an expert system. A mono ontology obtained from multiple CCOs (Canonical Conceptual Ontologies) constitutes the knowledge base of the Expert System. The NCCO (Non Canonical Conceptual Ontology) are defined and used for realising inter-CCO mapping and to express the relationships between the COO. An expert system JESS (Java Expert System Shell) is integrated with the ontology. Knowledge inference is then possible to solve maintenance cases by given adequate diagnoses to given symptoms. The second aspect of the paper focuses on the possible enhancement and evolution of the developed ontology in order to take into account new maintenance cases. The complete system is developed following a J2EE (Java 2 Enterprise Edition) architecture.\",\"PeriodicalId\":126072,\"journal\":{\"name\":\"2009 3rd International Conference on Signals, Circuits and Systems (SCS)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd International Conference on Signals, Circuits and Systems (SCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCS.2009.5412694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Conference on Signals, Circuits and Systems (SCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCS.2009.5412694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology
This paper describes the design and the implementation of an aided diagnostic system based on a domain ontology and an expert system. A mono ontology obtained from multiple CCOs (Canonical Conceptual Ontologies) constitutes the knowledge base of the Expert System. The NCCO (Non Canonical Conceptual Ontology) are defined and used for realising inter-CCO mapping and to express the relationships between the COO. An expert system JESS (Java Expert System Shell) is integrated with the ontology. Knowledge inference is then possible to solve maintenance cases by given adequate diagnoses to given symptoms. The second aspect of the paper focuses on the possible enhancement and evolution of the developed ontology in order to take into account new maintenance cases. The complete system is developed following a J2EE (Java 2 Enterprise Edition) architecture.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
