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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/440/Information-Extraction-of-Security-related-entities-concepts-and-relations-from-unstructured-text">
		<rdfs:label><![CDATA[Information Extraction of Security related entities, concepts and relations from unstructured text]]></rdfs:label>
		<event:title><![CDATA[Information Extraction of Security related entities, concepts and relations from unstructured text]]></event:title>
		<event:speaker>
<person:MSAlumnus rdf:about="http://ebiquity.umbc.edu/person/html/Ravendar/Lal"><person:name><![CDATA[Ravendar Lal]]></person:name><rdfs:label><![CDATA[Ravendar Lal]]></rdfs:label></person:MSAlumnus>
		</event:speaker>
		<event:startDate rdf:datatype="&xsd;dateTime">2012-10-22T11:00:00-05:00</event:startDate>
		<event:endDate rdf:datatype="&xsd;dateTime">2012-10-22T12:00:00-05:00</event:endDate>
		<event:location><![CDATA[ITE 325 - B]]></event:location>
		<event:abstract><![CDATA[In this week's lab meeting Ravendar Lal will present his thesis topic on "Information Extraction of Security related entities, concepts and relations from unstructured text"
<br/><br/>
Abstract: Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on internet. Our system will be tackling this problem of processing unstructured text by processing the security related terms including entities, concepts and relations mentioned in one piece of article. This information extraction task will help expediting the process of understanding and realizing the vulnerabilities and thus making systems secure at faster rate. ]]></event:abstract>
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