DocumentCode
1554666
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
Volume
11
Issue
4
fYear
1999
Firstpage
610
Lastpage
628
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;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.790816
Filename
790816
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