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  This ontology document is licensed under the Creative Commons
  Attribution License. To view a copy of this license, visit
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 <channel rdf:about="http://ebiquity.umbc.edu/tag/data/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
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  <description><![CDATA[RSS Tag Search]]></description>
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems"/>
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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/451/The-ICWSM-2009-Spinn3r-Dataset">
  <title><![CDATA[The ICWSM 2009 Spinn3r Dataset]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset</link>
  <description><![CDATA[The dataset, provided by Spinn3r.com, is a set of 44 million blog posts made between August 1st and October 1st, 2008. The post includes the text as syndicated, as well as metadata such as the blog's homepage, timestamps, etc. The data is formatted in XML and is further arranged into tiers approximating to some degree search engine ranking. The total size of the dataset is 142 GB uncompressed, (27 GB compressed). 
This dataset spans a number of big news events (the Olympics; both US presiden...]]></description>
  <dc:date>2009-05-17</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF">
  <title><![CDATA[RDF123: a mechanism to transform spreadsheets to RDF]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF</link>
  <description><![CDATA[We describe RDF123, a highly flexible open-source tool for transforming spreadsheet data to RDF. Existing spreadsheet-to-RDF tools typically map only to star-shaped RDF graphs, i.e. each spreadsheet row is an instance, with each column representing a property. RDF123, on the other hand, allows users to define mappings to arbitrary graphs, thus allowing much richer spreadsheet semantics to be expressed.  Further, each row in the spreadsheet can be mapped with a different RDF/OWL scheme. ...]]></description>
  <dc:date>2007-08-17</dc:date>
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 <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>
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