A System for Keyword Search on Textual Streams

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.

• Type: Conference
• Year: 2007
• Where: SDM
• Authors: Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
• Keywords: Data Mining, Multiple Textual Streams, SDM 2007, Text Streams, TV Closed Captions