<?xml version="1.0"?>

<!DOCTYPE owl [
  <!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#">
  <!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#">
  <!ENTITY xsd "http://www.w3.org/2001/XMLSchema#">
  <!ENTITY owl "http://www.w3.org/2002/07/owl#">
  <!ENTITY cc "http://web.resource.org/cc/#">
  <!ENTITY event "http://ebiquity.umbc.edu/ontology/event.owl#">
  <!ENTITY person "http://ebiquity.umbc.edu/ontology/person.owl#">
  <!ENTITY assert "http://ebiquity.umbc.edu/ontology/assertion.owl#">]>

<!--
  This ontology document is licensed under the Creative Commons
  Attribution License. To view a copy of this license, visit
  http://creativecommons.org/licenses/by/2.0/ or send a letter to
  Creative Commons, 559 Nathan Abbott Way, Stanford, California
  94305, USA.
-->

<rdf:RDF 
  xmlns:rdf = "&rdf;"
  xmlns:rdfs = "&rdfs;"
  xmlns:xsd = "&xsd;"
  xmlns:owl = "&owl;"
  xmlns:cc = "&cc;"
  xmlns:event = "&event;"
  xmlns:person = "&person;"
  xmlns:assert = "&assert;">
  <event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems">
    <rdfs:label><![CDATA[Provenance Tracking in Climate Science Data Processing Systems]]></rdfs:label>
    <event:title><![CDATA[Provenance Tracking in Climate Science Data Processing Systems]]></event:title>
    <event:speaker><person:PhDStudent rdf:about="http://ebiquity.umbc.edu/person/html/Curt/Tilmes/"><person:name><![CDATA[Curt  Tilmes]]></person:name><rdfs:label><![CDATA[Curt  Tilmes]]></rdfs:label></person:PhDStudent></event:speaker>
    <event:startDate rdf:datatype="&xsd;dateTime">2008-03-04T10:00:00-05:00</event:startDate>
    <event:location><![CDATA[325 ITE]]></event:location>
    <event:abstract><![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 agencies.  Since the data volume is so large, previous
generations of the data are often discarded in favor of newer
versions.  Systems often aren't capable of reproducing data that were
once provided to the public.  Tracing the provenance of a product is
generally a very manual process, since it is stored in so many
different ways (or not stored at all).  It often involves reading
science papers, or calling up the researchers.  In next generation
processing system, data can be transformed by on-demand processing in
new ways resulting in transient data sets that are returned to a user
or layered application but not archived at all.  Our goal is complete
scientific reproducibility of all data.
<p>
I will briefly present the general area and challenges of provenance
tracking for science data processing systems and the requirements for
scientific reproducibility.  I will discuss some existing techniques
and proposals including metadata standards and representation of
provenance through standard ontologies on the semantic web.
]]></event:abstract>
    <event:tag><![CDATA[semantic web]]></event:tag>
    <event:tag><![CDATA[provenance]]></event:tag>
    <event:tag><![CDATA[scientific data]]></event:tag>
    <event:tag><![CDATA[data]]></event:tag>
  </event:Event>

  <rdf:Description rdf:about="">
    <cc:License rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  </rdf:Description>

</rdf:RDF>
