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  <title><![CDATA[Generating Linked Data by inferring the semantics of tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/400/Generating-Linked-Data-by-inferring-the-semantics-of-tables</link>
  <description><![CDATA[Ph.D. Preliminary Examination
A vast amount of information is encoded in tables on the web, spreadsheets and databases. Considerable work has been focused on exploiting unstructured free text; however techniques that are effective for documents and free text do not work well with tables. In this research we present techniques to generate high quality linked data from tables by jointly inferring the semantics of column headers, table cell values (e.g., strings and numbers), relations between ...]]></description>
  <dc:date>2011-05-25</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies">
  <title><![CDATA[Using Information Extraction to Automatically Generate Probabilistic Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies</link>
  <description><![CDATA[The Semantic Web is a rapidly developing research area that promises
to deliver Tim Berners-Lee's vision of a world where agents can
communicate, reason, and act to complete complex tasks for their
users.  Ontology languages have evolved as the de facto presentation
language for the Semantic Web.  Today there are over one million
Semantic Web Documents indexed in the Swoogle database collection.
This seemingly impressive number is dwarfed by the more than nine
billion pages in the Goog...]]></description>
  <dc:date>2006-04-25</dc:date>
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