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.
%0 Journal Article
%1 Hristidis2006
%A Hristidis, Vagelis
%A Valdivia, Oscar
%A Vlachos, Michail
%A Yu, Philip S.
%D 2006
%J ACM International Conference on Information and Knowledge Management (CIKM) Poster
%K correlation,keyword erc event_detection search,streams
%P 802--803
%T Continuous keyword search on multiple text streams
%U http://portal.acm.org/citation.cfm?id=1183614.1183738
%X 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.
@article{Hristidis2006,
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.},
added-at = {2012-09-17T17:48:52.000+0200},
author = {Hristidis, Vagelis and Valdivia, Oscar and Vlachos, Michail and Yu, Philip S.},
biburl = {https://www.bibsonomy.org/bibtex/2fb8dd98875fc29735cb911f11eb307bb/lillejul},
interhash = {663d5d2cfd5430e14621457ccc16047f},
intrahash = {fb8dd98875fc29735cb911f11eb307bb},
journal = {ACM International Conference on Information and Knowledge Management (CIKM) Poster},
keywords = {correlation,keyword erc event_detection search,streams},
pages = {802--803},
timestamp = {2012-09-17T17:54:04.000+0200},
title = {{Continuous keyword search on multiple text streams}},
url = {http://portal.acm.org/citation.cfm?id=1183614.1183738},
year = 2006
}