Title :
Continual queries for Internet scale event-driven information delivery
Author :
Liu, Ling ; Pu, Calton ; Tang, Wei
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We introduce the concept of continual queries, describe the design of a distributed event-driven continual query system-OpenCQ, and outline the initial implementation of OpenCQ on top of the distributed interoperable information mediation system DIOM. Continual queries are standing queries that monitor update of interest and return results whenever the update reaches specified thresholds. In OpenCQ, users may specify to the system the information they would like to monitor (such as the events or the update thresholds they are interested in). Whenever the information of interest becomes available, the system immediately delivers it to the relevant users; otherwise, the system continually monitors the arrival of the desired information and pushes it to the relevant users as it meets the specified update thresholds. In contrast to conventional pull-based data management systems such as DBMSs and Web search engines, OpenCQ exhibits two important features: it provides push-enabled, event-driven, content-sensitive information delivery capabilities; and it combines pull and push services in a unified framework. By event-driven we mean that the update events of interest to be monitored are specified by users or applications. By content-sensitive, we mean the evaluation of the trigger condition happens only when a potentially interesting change occurs. By push-enabled, we mean the active delivery of query results or triggering of actions without user intervention
Keywords :
Internet; information resources; information retrieval; DIOM; Internet; OpenCQ; World Wide Web; content-sensitive information delivery; continual queries; event-driven information delivery; interoperable information mediation system; pull services; push-enabled information delivery; relevant users; Information systems; Internet; Mediation; Monitoring; Production; Search engines; Software systems; Web search; Web sites; World Wide Web;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on