Continuous keyword search on multiple text streams

Authors:
Vagelis Hristidis;Oscar Valdivia;Michail Vlachos;Philip S. Yu
Affiliations:
Florida International University;Florida International University;IBM T. J. Watson Research Center;IBM T. J. Watson Research Center
Venue:
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Year:
2006

Citing 4
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Abstract

In this paper we address the issue of continuous keyword queries on multiple textual streams. This line of work represents a significant departure from previous keyword search models that assumed a static database. In our model the user poses a query comprised by a collection of keywords, which is subsequently applied on multiple text streams (these can be RSS news feeds, TV closed captions, emails, etc). A result to a query is a combination of streams "sufficiently correlated" to each other that collectively contain all query keywords within a specified time span.