{"title":"Incorporating fuzziness into timer-triggers for temporal event handling","authors":"Ying Jin, Tejaswitha Bhavsar","doi":"10.1109/IRI.2008.4583051","DOIUrl":null,"url":null,"abstract":"Database triggers allow database users to specify integrity constraints and business logics by describing the reactions to events. Traditional database triggers can handle mutating events such as insert, update, and delete. This paper describes our approach to incorporate timer-triggers to handle temporal events that are generated at a given time or at certain time intervals. We propose a trigger language, named FZ-Trigger, to allow fuzziness in database triggers. FZ-Triggers allow fuzzy expressions in the condition part of a trigger with either a mutating event or a temporal event. This paper describes the generation of temporal events, the language of FZ-Triggers, and the system implementation. We also present a motivating example that illustrates the use of FZ-Trigger in the case of reacting to temporal events.","PeriodicalId":169554,"journal":{"name":"2008 IEEE International Conference on Information Reuse and Integration","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Information Reuse and Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2008.4583051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Database triggers allow database users to specify integrity constraints and business logics by describing the reactions to events. Traditional database triggers can handle mutating events such as insert, update, and delete. This paper describes our approach to incorporate timer-triggers to handle temporal events that are generated at a given time or at certain time intervals. We propose a trigger language, named FZ-Trigger, to allow fuzziness in database triggers. FZ-Triggers allow fuzzy expressions in the condition part of a trigger with either a mutating event or a temporal event. This paper describes the generation of temporal events, the language of FZ-Triggers, and the system implementation. We also present a motivating example that illustrates the use of FZ-Trigger in the case of reacting to temporal events.