A System for Keyword Search on Textual Streams
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu · 2007
An increasing amount of data is produced in the form of text streams – these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword queries on multiple textual streams. We define the result of a keyword query inspired by previous work on keyword search on static databases. 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. On the algorithmic side, in this paper we focus on the component of continuously monitoring the streams and outputting results as soon as they are available.