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  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management.
It provides the means for computerized collection, organization and retrieval
of knowledge. Due to growth in deployment of sensors, 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 data-flow. In such scenarios, knowledge extraction
boils down to finding useful information i.e. detecting events ...]]></description>
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  <title><![CDATA[Streaming Knowledge Bases]]></title>
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  <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, and so is the rate of the data flow.  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 envi...]]></description>
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  <title><![CDATA[Streaming Knowledge Bases]]></title>
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  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management. It provides the means for computerized collection, organization and retrieval of knowledge. Due to growth in deployment of sensors, 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 data-flow. In such scenarios, knowledge extraction boils down to finding useful information i.e. detecting events of in...]]></description>
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