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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-for-Semantic-Web-Graphs">
		<rdfs:label><![CDATA[Text Based Similarity Metrics and Deltas for Semantic Web Graphs]]></rdfs:label>
		<event:title><![CDATA[Text Based Similarity Metrics and Deltas for Semantic Web Graphs]]></event:title>
		<event:speaker>
<person:MSAlumnus rdf:about="http://ebiquity.umbc.edu/person/html/Krishnamurthy/Viswanathan"><person:name><![CDATA[Krishnamurthy Viswanathan]]></person:name><rdfs:label><![CDATA[Krishnamurthy Viswanathan]]></rdfs:label></person:MSAlumnus>
		</event:speaker>
		<event:startDate rdf:datatype="&xsd;dateTime">2010-10-05T11:00:00-05:00</event:startDate>
		<event:endDate rdf:datatype="&xsd;dateTime">2010-10-05T12:00:00-05:00</event:endDate>
		<event:location><![CDATA[ITE 325]]></event:location>
		<event:abstract><![CDATA[Recognizing that two Semantic Web documents or graphs are similar and characterizing their differences is useful in many tasks, including retrieval, updating, version control and knowledge base editing. I will describe several text-based similarity metrics that characterize the relation between Semantic Web graphs and evaluate these metrics for three specific cases of similarity: similarity in classes and properties, similarity disregarding differences in base-URIs, and versioning relationship. I've applied these techniques for a specific use case – generating a delta between versions of a Semantic Web graph. The system has been evaluated on several tasks using a collection of graphs from the archive of the Swoogle Semantic Web search engine.]]></event:abstract>
		<event:tag><![CDATA[information retrieval]]></event:tag>
		<event:tag><![CDATA[semantic web]]></event:tag>
		<event:host>
<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>
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