<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
  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.
-->
 <channel rdf:about="http://ebiquity.umbc.edu/tag/ph.d. dissertation defense/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/ph.d. dissertation defense/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/209/Opportunistic-Bartering-Of-Digital-Goods-and-Services"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/142/Enhancing-Semantic-Web-Data-Access"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/72/PhD-Defense-An-Intelligent-Broker-Architecture-for-Pervasive-Context-Aware-Systems"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/209/Opportunistic-Bartering-Of-Digital-Goods-and-Services">
  <title><![CDATA[Opportunistic Bartering Of Digital Goods and Services]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/209/Opportunistic-Bartering-Of-Digital-Goods-and-Services</link>
  <description><![CDATA[The vision of mobile personal devices querying peers in their environment
for information such as local restaurant recommendations or directions to
the closest gas station, or traffic and weather updates has long been a
goal of the pervasive research community.  However, considering the
diversity and the personal nature of devices participating in pervasive
environments it is not feasible to assume that these interactions and
collaborations will take place with out economically-driven m...]]></description>
  <dc:date>2007-08-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/142/Enhancing-Semantic-Web-Data-Access">
  <title><![CDATA[Enhancing Semantic Web Data Access]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/142/Enhancing-Semantic-Web-Data-Access</link>
  <description><![CDATA[The Semantic Web is coined by Tim Berners-Lee in 1998 as a web of data
for machine consumption. Its applicability in supporting real world
applications on the World Wide Web, however, remains unclear to this day
mainly because its Web aspect has been neglected in past research.  Most
existing works usually model the Semantic Web as one universal RDF
graph, and they either ignore the storage layer or investigate ad hoc
storage layers (e.g. databases and peer-to-peer systems) other than t...]]></description>
  <dc:date>2006-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/72/PhD-Defense-An-Intelligent-Broker-Architecture-for-Pervasive-Context-Aware-Systems">
  <title><![CDATA[PhD Defense: An Intelligent Broker Architecture for Pervasive Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/72/PhD-Defense-An-Intelligent-Broker-Architecture-for-Pervasive-Context-Aware-Systems</link>
  <description><![CDATA[Context-aware systems exploit the use of situational information, or
context, to provide relevant  information and services to users. A great
challenge remains in defining an architecture that supports
context-aware systems. Critical research issues include modeling and
reasoning (how to represent  contextual information for machine
processing and reasoning), knowledge sharing (how to enable agents to
acquire consistent knowledge from unreliable sensors and agents), and
user privacy pr...]]></description>
  <dc:date>2004-12-03</dc:date>
 </item>
</rdf:RDF>

