<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
  This ontology document is licensed under the Creative Commons
  Attribution License. To view a copy of this license, visit
  http://creativecommons.org/licenses/by/2.0/ or send a letter to
  Creative Commons, 559 Nathan Abbott Way, Stanford, California
  94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu/tag/streaming database/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/streaming database/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases</link>
  <description><![CDATA[With the advent of pervasive computing, we encounter many scenarios where data is constantly flowing between sensors and applications.  The volume of data produced is large, so is the rate of the dataflow.  In such scenarios, knowledge extraction boils down to finding useful information i.e. detecting events of interest. Typical use cases where event detection is of paramount importance are surveillance, tracking, telecommunications data management, disease outburst detection and environmenta...]]></description>
  <dc:date>2008-10-26</dc:date>
 </item>
</rdf:RDF>

