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 <channel rdf:about="http://ebiquity.umbc.edu/tag/provenance/">
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System"/>
    <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/paper/html/id/240/Tracking-RDF-Graph-Provenance-using-RDF-Molecules"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/316/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System">
  <title><![CDATA[Provenance Tracking in an Earth Science Data Processing System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System</link>
  <description><![CDATA[NASA and other organizations involved with climate research have captured huge archives of earth observations. The sensors, spacecraft, and science algorithms for transforming and analyzing the data and the processing frameworks are evolving over time. Science Data Processing Systems (SDPSes) should capture, archive, and distribute provenance information of all externally received data and algorithms, as well as describing all internal processes used for data transformation.  This will make t...]]></description>
  <dc:date>2008-06-17</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/paper/html/id/240/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/240/Tracking-RDF-Graph-Provenance-using-RDF-Molecules</link>
  <description><![CDATA[The Semantic Web facilitates integrating partial knowledge and finding evidence for hypothesis from web knowledge sources. However, the appropriate level of granularity for tracking provenance of RDF graph remains in debate. RDF document is too coarse since it could contain irrelevant information.  RDF triple will fail when two triples share the same blank node. Therefore, this paper investigates lossless decomposition of RDF graph and tracking the provenance of RDF graph using RDF molecule, ...]]></description>
  <dc:date>2005-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web">
  <title><![CDATA[Modeling and using trust and provenance in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web</link>
  <description><![CDATA[This is Li Ding' proposal preview, and some parts are not finished yet. This proposal shows how to model trust and provenance to make the semantic web a useful real world knowledge base. It first positions trust and provenance in the big picture of semantic web research. Then some important reasearch problems along this line are listed with preliminary work.]]></description>
  <dc:date>2004-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/316/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System">
  <title><![CDATA[Provenance Tracking in an Earth Science Data Processing System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/316/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System</link>
  <description><![CDATA[Tremendous volumes of data have been captured, archived and analyzed. Sensors, algorithms and processing systems for transforming and analyzing the data are evolving over time. Web Portals and Services can create transient data sets on-demand. Data are transferred from organization to organization with additional transformations at every stage. Provenance in this context refers to the source of data and a record of the process that led to its current state. Provenance is important for underst...]]></description>
  <dc:date>2009-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems">
  <title><![CDATA[Provenance Tracking in Climate Science Data Processing Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems</link>
  <description><![CDATA[NASA, NOAA, ESA and other organizations involved with climate research
have captured huge archives of earth observations.  Over time, the
sensors, spacecraft, science algorithms for transforming and analyzing
the data and the processing frameworks have all evolved.  Tracking the
complete provenance information in concert with the science data used
in research and ultimately, policy decisions is a tremendously
complicated problem.  Data are stored in multiple archives across
multiple ag...]]></description>
  <dc:date>2008-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web">
  <title><![CDATA[Modeling and using trust and provenance in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web</link>
  <description><![CDATA[This is Li Ding' proposal preview, and some parts are not finished yet. This proposal shows how to model trust and provenance to make the semantic web a useful real world knowledge base. It first positions trust and provenance in the big picture of semantic web research. Then some important reasearch problems along this line are listed with preliminary work.]]></description>
  <dc:date>2004-10-20</dc:date>
 </item>
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