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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/474/Exploiting-a-Web-of-Semantic-Data-for-Interpreting-Tables"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data-">
  <title><![CDATA[T2LD: Interpreting and Representing Tables as Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data-</link>
  <description><![CDATA[We describe a framework and prototype system for interpreting tables and extracting entities and relations from them, and producing a linked data representation of the table’s contents. This can be used to annotate the table or to add new facts to the linked data collection.]]></description>
  <dc:date>2010-11-07</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data">
  <title><![CDATA[T2LD - An automatic framework for extracting, interpreting and representing tables as Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data</link>
  <description><![CDATA[We present an automatic framework for extracting, interpreting and generating linked data from tables. In the process of representing tables as linked data, we assign every column header a class label from an appropriate ontology, link table cells (if appropriate) to an entity from the Linked Open Data cloud and identify relations between various columns in the table, which helps us to build an overall interpretation of the table. Using the limited evidence provided by a table in the form of ...]]></description>
  <dc:date>2010-08-02</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/474/Exploiting-a-Web-of-Semantic-Data-for-Interpreting-Tables">
  <title><![CDATA[Exploiting a Web of Semantic Data for Interpreting Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/474/Exploiting-a-Web-of-Semantic-Data-for-Interpreting-Tables</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents
like spreadsheets, database relations and tables in documents
found on the Web and in print. The information in these
tables might be much more valuable if it could be appropriately
exported or encoded in RDF, making it easier to share, understand
and integrate with other information. This is especially true if it
could be linked into the growing linked data cloud. We describe
techniques to automatically infer a (part...]]></description>
  <dc:date>2010-04-26</dc:date>
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  <title><![CDATA[Using Wikitology for Cross-Document Entity Coreference Resolution]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/431/Using-Wikitology-for-Cross-Document-Entity-Coreference-Resolution</link>
  <description><![CDATA[We describe the use of the Wikitology knowledge base as a resource for a variety of applications with special focus on a cross-document entity coreference resolution task. This task involves recognizing when entities and relations mentioned in different documents refer to the same object or relation in the world. Wikitology is a knowledge base system constructed with material from Wikipedia, DBpedia and Freebase that includes both unstructured text and semi-structured information.  Wikitology...]]></description>
  <dc:date>2009-03-23</dc:date>
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