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    <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"/>
    <rdf:li resource="http://ebiquity.umbc.edu/blogger/2008/04/21/Jiawei-Han:-Research-Challenges-In-Data-Mining,-10am-4/22-LH8-UMBC/"/>
    <rdf:li resource="http://ebiquity.umbc.edu/blogger/2008/02/08/Hypertable-0.9-alpha/"/>
    <rdf:li resource="http://ebiquity.umbc.edu/blogger/2007/12/28/How-YouTube-scales-MySQL-for-its-large-databases/"/>
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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/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>
 </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/blogger/2008/04/21/Jiawei-Han:-Research-Challenges-In-Data-Mining,-10am-4/22-LH8-UMBC/">
  <title><![CDATA[Jiawei Han: Research Challenges In Data Mining, 10am 4/22 LH8 UMBC]]></title>
  <link>http://ebiquity.umbc.edu/blogger/2008/04/21/Jiawei-Han:-Research-Challenges-In-Data-Mining,-10am-4/22-LH8-UMBC/</link>
  <description><![CDATA[Jiawei Han will give a talk tomorrow, Research Challenges In Data Mining at 10am in UMBC's
LH8 (1st floor ITE building).  Here's the abstract.  
"Research in data mining has led to advanced knowledge discovery technologies and applications. In this talk, we will discuss some emerging research issues for advanced technologies and applications in data mining and discuss some recent progress in this direction, including (1) exploration of the power of pattern mining, (2) analysis of multidimen...]]></description>
  <dc:date>2008-04-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/blogger/2008/02/08/Hypertable-0.9-alpha/">
  <title><![CDATA[Hypertable 0.9 alpha]]></title>
  <link>http://ebiquity.umbc.edu/blogger/2008/02/08/Hypertable-0.9-alpha/</link>
  <description><![CDATA[Hypertable 0.9 alpha is out.

"Hypertable is a high performance distributed data storage system designed to support applications requiring maximum performance, scalability, and reliability.  Hypertable will be particularly invaluable to any organization that needs to manage rapidly evolving data to support demanding real-time applications. Modeled after Google's well known Bigtable project, Hypertable is designed to manage the storage and processing of information on a large cluster of comm...]]></description>
  <dc:date>2008-02-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/blogger/2007/12/28/How-YouTube-scales-MySQL-for-its-large-databases/">
  <title><![CDATA[How YouTube scales MySQL for its large databases]]></title>
  <link>http://ebiquity.umbc.edu/blogger/2007/12/28/How-YouTube-scales-MySQL-for-its-large-databases/</link>
  <description><![CDATA[Like most research labs, we rely on MySQL whenever we need a database. And like most (I'm guessing, here), it's common to overhear something like the following in our lab -- "We really need to replace MySQL with Oracle or DB2 in X so it can handle the load." But we never get around to it.

Maybe we don't have to.  Check out Scaling MySQL at YouTube, a keynote talk by YouTube DBA Paul Tuckfield at the 2007 MySQL Conference put online by Conversationnetwork.org.

"In mid 2006, YouTube serve...]]></description>
  <dc:date>2007-12-28</dc:date>
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