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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/65/Bayesian-network-mapping">
		<rdfs:label><![CDATA[Bayesian network mapping]]></rdfs:label>
		<event:title><![CDATA[Bayesian network mapping]]></event:title>
		<event:speaker>
<person:PhDAlumnus rdf:about="http://ebiquity.umbc.edu/person/html/Rong/Pan"><person:name><![CDATA[Rong Pan]]></person:name><rdfs:label><![CDATA[Rong Pan]]></rdfs:label></person:PhDAlumnus>
		</event:speaker>
		<event:startDate rdf:datatype="&xsd;dateTime">2004-10-26T11:00:00-05:00</event:startDate>
		<event:location><![CDATA[325b]]></event:location>
		<event:abstract><![CDATA[Rong Pan will  give a preview of his disseration proposal.
<p>

Expected contribution of my Ph.D. reserach would be a theoretical
framework and related inference methods to map semantically similar
variables between separate Bayesian networks in a provably correct way.
The framework can be used to support automatic mapping of concepts between
ontologies with the help of probability extension of ontologies.]]></event:abstract>
		<event:host>
<person:AffiliatedFaculty rdf:about="http://ebiquity.umbc.edu/person/html/Yun/Peng"><person:name><![CDATA[Yun Peng]]></person:name><rdfs:label><![CDATA[Yun Peng]]></rdfs:label></person:AffiliatedFaculty>
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