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 xmlns:cc="http://web.resource.org/cc/"
 >
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=pml">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=pml]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for pml]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/263/Tracking-RDF-Graph-Provenance-using-RDF-Molecules"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/19/Understanding-PML"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection">
  <title><![CDATA[The Multi-Relational Blogosphere: Empirical Characterization and Spam Protection]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information,
engage in discussions and form communities. Blogs collectively constitute 
the blogosphere, a highly influential and dynamic subset on the Web. The 
nature of their content and publishing infrastructure requires that they be
modeled, harvested and analyzed differently from the rest of the web.


We first propose a model for the blog graph that extends the more general 
web graph. The web is viewed as a graph G...]]></description>
  <dc:date>2006-05-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/263/Tracking-RDF-Graph-Provenance-using-RDF-Molecules">
  <title><![CDATA[Tracking RDF Graph Provenance using RDF Molecules]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/263/Tracking-RDF-Graph-Provenance-using-RDF-Molecules</link>
  <description><![CDATA[Tracking the provenance of an RDF graph requires
finding all supporting sources and rejecting all irrelevant ones, but
neither RDF document nor triple is appropriate. Therefore, we approach
this goal using lossless decomposition of RDF graph at RDF molecule
granularity, which is the finest and lossless sub-graph of an RDF
graph. We also implements three decomposition strategies a prototype
RDF graph provenance service covering 50M real world triples collected
by Swoogle.]]></description>
  <dc:date>2005-11-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/19/Understanding-PML">
  <title><![CDATA[Understanding PML]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/19/Understanding-PML</link>
  <description><![CDATA[PML is an markup language that support portable proofs, i.e., explicit representation of logical inference trace and knowledge provenance. Please  also reference the official definition paper "A Proof Markup Language for Semantic Web Services" Technical Report KSL-04-01.]]></description>
  <dc:date>2004-03-10</dc:date>
 </item>
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