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	<pub:Resource rdf:about="http://ebiquity.umbc.edu/resource/html/id/261/WIkipedia-as-an-ontology">
		<rdfs:label><![CDATA[WIkipedia as an ontology]]></rdfs:label>
		<pub:type><![CDATA[Presentation]]></pub:type>
		<pub:title><![CDATA[WIkipedia as an ontology]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2009-03-24T00:00:00-05:00</pub:publishedOn>
		<pub:description><![CDATA[There is a lot of 'semantic information' on the Web, the vast
majority of which is encoded as human language text. This is
especially true for content found on the social web, consisting
of blogs, Wikis, forums, and many other social media systems. One
way to accelerate the realization of the Semantic Web's vision of
a web of machine understandable data is to extract semantic
information from this text and publish it in structured or
semi-structured forms (e.g., RDF) using appropriate ontologies.
I will describe a range of current tools and efforts to do this,
such as DBpedia, Freebase and Open Calais, as well as our own
work Wikitology -- a hybrid knowledge base constructed from
Wikipedia and other knowledge sources. ]]></pub:description>
		<pub:counter><![CDATA[2257]]></pub:counter>
		<pub:tag><![CDATA[ontology]]></pub:tag>
		<pub:tag><![CDATA[wikipedia]]></pub:tag>
		<pub:tag><![CDATA[wikitology]]></pub:tag>
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			<pub:softCopyFormat><![CDATA[Microsoft PowerPoint]]></pub:softCopyFormat>
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