{"title":"一种面向流处理的语义复杂事件处理框架","authors":"Rose Yemson, Savas Konur, D. Thakker","doi":"10.1145/3365871.3365906","DOIUrl":null,"url":null,"abstract":"Streaming events are on the increase in various industries, with applications needing data analysed rapidly for real-time detection. A large amount of data from multiple sensors streamed simultaneously is creating a new challenge for instantaneous decision making hence necessitating the need for a highly efficient event processing, detection of events, patterns, ontologies, definition and behaviour rules.The objective of this work is to develop a framework that integrates SCEP into the traditional CEP engine. The approach proposes to address real-time detection of complex events as it occurs also with the ability to detect anomalies of events.","PeriodicalId":350460,"journal":{"name":"Proceedings of the 9th International Conference on the Internet of Things","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Novel Semantic Complex Event Processing Framework for Streaming Processing\",\"authors\":\"Rose Yemson, Savas Konur, D. Thakker\",\"doi\":\"10.1145/3365871.3365906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Streaming events are on the increase in various industries, with applications needing data analysed rapidly for real-time detection. A large amount of data from multiple sensors streamed simultaneously is creating a new challenge for instantaneous decision making hence necessitating the need for a highly efficient event processing, detection of events, patterns, ontologies, definition and behaviour rules.The objective of this work is to develop a framework that integrates SCEP into the traditional CEP engine. The approach proposes to address real-time detection of complex events as it occurs also with the ability to detect anomalies of events.\",\"PeriodicalId\":350460,\"journal\":{\"name\":\"Proceedings of the 9th International Conference on the Internet of Things\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th International Conference on the Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3365871.3365906\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th International Conference on the Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3365871.3365906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Semantic Complex Event Processing Framework for Streaming Processing
Streaming events are on the increase in various industries, with applications needing data analysed rapidly for real-time detection. A large amount of data from multiple sensors streamed simultaneously is creating a new challenge for instantaneous decision making hence necessitating the need for a highly efficient event processing, detection of events, patterns, ontologies, definition and behaviour rules.The objective of this work is to develop a framework that integrates SCEP into the traditional CEP engine. The approach proposes to address real-time detection of complex events as it occurs also with the ability to detect anomalies of events.