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

  • Authors:
  • Raman Adaikkalavan;Sharma Chakravarthy

  • Affiliations:
  • Information Technology Laboratory, Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX;Information Technology Laboratory, Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Detection-based semantics does not differentiate between event 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 SnoopIB operators and comment on their implementation in the context of Sentinel-an active object-oriented DBMS.