SnoopIB: Interval-based event specification and detection for active databases

被引:35
作者
Adaikkalavan, Raman [1 ]
Chakravarthy, Sharma [1 ]
机构
[1] Univ Texas, Dept Comp Sci & Engn, Informat Technol Lab, Arlington, TX 76019 USA
基金
美国国家科学基金会;
关键词
active databases; ECA rules; interval-based semantics; event specification; event detection;
D O I
10.1016/j.datak.2005.07.009
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Detection-based semantics does not differentiate between,vent detection and event occurrence and has been used for detecting events in most of the active systems that support Event-Condition-Action rules. However, this is a limitation for many applications that require interval-based semantics. In this article, we formalize the detection of Snoop (an event specification language) event operators using interval-based semantics (termed SnoopIB) in various event consumption modes. We show how events are detected using event detection graphs, and present a few representative algorithms to detect SnooplB operators and comment on their implementation in the context of Sentinel-an active object-oriented DBMS. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:139 / 165
页数:27
相关论文
共 38 条
[1]  
Adaikkalavan R, 2004, ADBIS' 04: EIGHTH EAST-EUROPEAN CONFERENCE ON ADVANCES IN DATABASES AND INFORMATION SYSTEMS, PROCEEDINGS, P241
[2]  
Adaikkalavan R, 2003, LECT NOTES COMPUT SC, V2798, P190
[3]  
ADAIKKALAVAN R, 2005, P 11 INT C MAN DAT G, P58
[4]  
ADAIKKALAVAN R, 2002, THESIS U TEXAS ARLIN
[5]  
ADAIKKALAVAN R, 2005, P INT WORKSH PRIV DA
[6]  
ALLEN J, 1994, J LOGIC COMPUT, V4, P31
[7]   TOWARDS A GENERAL-THEORY OF ACTION AND TIME [J].
ALLEN, JF .
ARTIFICIAL INTELLIGENCE, 1984, 23 (02) :123-154
[8]  
[Anonymous], P 1 INT WORKSH DAT M
[9]  
ANWAR E, 1993, P ACM SIGMOD INT C M, P99
[10]  
BERNAUER M, 2004, P INT WORLD WID WEB, P175