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    <rdfs:label><![CDATA[SEMDIS poster (March 2005)]]></rdfs:label>
    <pub:title><![CDATA[SEMDIS poster (March 2005)]]></pub:title>
    <pub:publishedOn rdf:datatype="&xsd;dateTime">2005-03-17T00:00:00-05:00</pub:publishedOn>
    <pub:description><![CDATA[Discovering and evaluating interesting patterns and semantic
associations in vast amount of information provided by many different
sources is an important and time-consuming work for homeland security
analysts. By publishing or converting such information in semantic web
language, intelligent agents can automate the inference without
compromising the semantics. This paper describes how trust and
provenance can be represented/obtained in the SemanticWeb and then be
used to evaluate trustworthiness of discovered semantic associations
and to make discovery process effective and efficient.
]]></pub:description>
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             <rdf:first><person:Alumnus rdf:about="http://ebiquity.umbc.edu/person/html/Pranam/Kolari/"><person:name><![CDATA[Pranam  Kolari]]></person:name><rdfs:label><![CDATA[Pranam  Kolari]]></rdfs:label></person:Alumnus></rdf:first>
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                         <rdf:first><person:PrincipalFaculty rdf:about="http://ebiquity.umbc.edu/person/html/Yelena/Yesha/"><person:name><![CDATA[Yelena  Yesha]]></person:name><rdfs:label><![CDATA[Yelena  Yesha]]></rdfs:label></person:PrincipalFaculty></rdf:first>
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