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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/471/Semantics-for-Privacy-and-Context">
		<rdfs:label><![CDATA[Semantics for Privacy and Context]]></rdfs:label>
		<event:title><![CDATA[Semantics for Privacy and Context]]></event:title>
		<event:speaker>
<person:ProfessorEmeritus rdf:about="http://ebiquity.umbc.edu/person/html/Tim/Finin"><person:name><![CDATA[Tim Finin]]></person:name><rdfs:label><![CDATA[Tim Finin]]></rdfs:label></person:ProfessorEmeritus>
		</event:speaker>
		<event:startDate rdf:datatype="&xsd;dateTime">2014-10-20T14:10:00-05:00</event:startDate>
		<event:endDate rdf:datatype="&xsd;dateTime">2014-10-20T14:40:00-05:00</event:endDate>
		<event:location><![CDATA[Privon 2014 Workshop]]></event:location>
		<event:abstract><![CDATA[Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represents context in RDF and OWL and reasons over context models to infer additional information and detect and resolve ambiguities and inconsistencies. A unique feature, its ability to create and manage "contextual groups" of users in an environment, enables their members to share context information using wireless ad-hoc networks. Thus, it enriches the information about a user's context by creating mobile ad hoc knowledge networks.
]]></event:abstract>
		<event:tag><![CDATA[context]]></event:tag>
		<event:tag><![CDATA[privacy]]></event:tag>
		<event:tag><![CDATA[semantics]]></event:tag>
		<assert:eventPptSlides rdf:resource="http://ebiquity.umbc.edu/resource/html/id/364/Semantics-for-Privacy-and-Context" />
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