{"title":"IntelSCEP","authors":"Syed Gillani, Gauthier Picard, F. Laforest","doi":"10.1145/2637064.2637110","DOIUrl":null,"url":null,"abstract":"Recognition of patterns and prediction of future events has become quite important in many application areas of Complex Event Processing (CEP). However, the state-of-art technologies cannot cope with the heterogeneity of event streams and employ historical and future events to predict new situations. Emerging applications like Prosumer-Oriented SmartGrid are spread across multiple domains and require a solution to handle large influx of heterogeneous streams and extract meaningful patterns to devise automated response. In this paper, we present a motivational scenario for such system, discuss some limitations of existing CEP systems and describe our work towards an intelligent semantically enriched CEP (IntelSCEP) system.","PeriodicalId":239987,"journal":{"name":"Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2637064.2637110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Recognition of patterns and prediction of future events has become quite important in many application areas of Complex Event Processing (CEP). However, the state-of-art technologies cannot cope with the heterogeneity of event streams and employ historical and future events to predict new situations. Emerging applications like Prosumer-Oriented SmartGrid are spread across multiple domains and require a solution to handle large influx of heterogeneous streams and extract meaningful patterns to devise automated response. In this paper, we present a motivational scenario for such system, discuss some limitations of existing CEP systems and describe our work towards an intelligent semantically enriched CEP (IntelSCEP) system.