{"title":"对复杂事件流上匹配模式的排序支持:CEPR系统","authors":"Jiaqi Gu, Jin Wang, C. Zaniolo","doi":"10.1109/ICDE.2016.7498343","DOIUrl":null,"url":null,"abstract":"There is a growing interest in pattern matching over complex event streams. While many bodies of techniques were proposed to search complex patterns and enhance the expressive power of query language, no previous work focused on supporting a well-defined ranking mechanism over answers using semantic ordering. To satisfy this need, we proposed CEPR, a CEP system capable of ranking matchings and emitting ordered results based on users' intentions via a novel query language. In this demo, we will (i) demonstrate language features, system architecture and functionalities, (ii) show examples of CEPR in various application domains and (iii) present a user-friendly interface to monitor query results and interact with the system in real time.","PeriodicalId":6883,"journal":{"name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","volume":"4 1","pages":"1354-1357"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Ranking support for matched patterns over complex event streams: The CEPR system\",\"authors\":\"Jiaqi Gu, Jin Wang, C. Zaniolo\",\"doi\":\"10.1109/ICDE.2016.7498343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a growing interest in pattern matching over complex event streams. While many bodies of techniques were proposed to search complex patterns and enhance the expressive power of query language, no previous work focused on supporting a well-defined ranking mechanism over answers using semantic ordering. To satisfy this need, we proposed CEPR, a CEP system capable of ranking matchings and emitting ordered results based on users' intentions via a novel query language. In this demo, we will (i) demonstrate language features, system architecture and functionalities, (ii) show examples of CEPR in various application domains and (iii) present a user-friendly interface to monitor query results and interact with the system in real time.\",\"PeriodicalId\":6883,\"journal\":{\"name\":\"2016 IEEE 32nd International Conference on Data Engineering (ICDE)\",\"volume\":\"4 1\",\"pages\":\"1354-1357\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 32nd International Conference on Data Engineering (ICDE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2016.7498343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2016.7498343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ranking support for matched patterns over complex event streams: The CEPR system
There is a growing interest in pattern matching over complex event streams. While many bodies of techniques were proposed to search complex patterns and enhance the expressive power of query language, no previous work focused on supporting a well-defined ranking mechanism over answers using semantic ordering. To satisfy this need, we proposed CEPR, a CEP system capable of ranking matchings and emitting ordered results based on users' intentions via a novel query language. In this demo, we will (i) demonstrate language features, system architecture and functionalities, (ii) show examples of CEPR in various application domains and (iii) present a user-friendly interface to monitor query results and interact with the system in real time.