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  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=ph.d.+dissertation+defense]]></link>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/401/A-Security-Framework-to-Cope-With-Node-Misbehaviors-in-Mobile-Ad-Hoc-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/273/Constraint-Generation-and-Reasoning-in-OWL"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content"/>
      <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/129/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/72/PhD-Defense-An-Intelligent-Broker-Architecture-for-Pervasive-Context-Aware-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/401/A-Security-Framework-to-Cope-With-Node-Misbehaviors-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[A Security Framework to Cope With Node Misbehaviors in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/401/A-Security-Framework-to-Cope-With-Node-Misbehaviors-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[Ph.D. Dissertation Defense

A Mobile Ad-hoc NETwork (MANET) has no fixed infrastructure, and is generally composed of a dynamic set of cooperative peers. These peers share their wireless transmission power with other peers so that indirect communication can be possible between nodes that are not in the radio range of each other . The nature of MANETs, such as node mobility, unreliable transmission medium and restricted battery power, makes them extremely vulnerable to a variety of node misb...]]></description>
  <dc:date>2011-06-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis">
  <title><![CDATA[Learning by Reading: Automatic Knowledge Extraction Through Semantic Analysis]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis</link>
  <description><![CDATA[Ph.D. Dissertation Defense

To support rich semantic analysis of text, traditional natural language processing tools require access to a cache of static knowledge with both broad coverage and deep meaning.  Acquiring this knowledge by hand is so expensive and error-prone, it has been dubbed the "knowledge acquisition bottleneck".  In this work, we present a method for reducing the impact of this bottleneck by automating the knowledge acquisition task using the novel approach of bootstrappin...]]></description>
  <dc:date>2010-07-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space">
  <title><![CDATA[Efficient Planning Using Plan Libraries to Capture the Structure of the State Space]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space</link>
  <description><![CDATA[Ph.D. Dissertation Defense

Automated, domain-independent planning is a research area within Artificial Intelligence that is used in a variety of practical applications, especially those for which a large degree of autonomy is required. Planning programs that are given information about the current state of the world, the available actions, and a set of goals that should be achieved. The planner's task is determining the plan: a set of actions and ordering constraints among them. A domain-i...]]></description>
  <dc:date>2009-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/273/Constraint-Generation-and-Reasoning-in-OWL">
  <title><![CDATA[Constraint Generation and Reasoning in OWL]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/273/Constraint-Generation-and-Reasoning-in-OWL</link>
  <description><![CDATA[The majority of OWL ontologies in the emerging Semantic Web are constructed from properties that lack domain and range constraints. Constraints in OWL are different from the familiar uses in programming languages and databases, and are actually type assertions that are made about the individuals which are connected by the property. These assertions can add vital information to the model because they are assertions of type on the individuals involved, and they can also give information on how ...]]></description>
  <dc:date>2008-11-17</dc:date>
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  <title><![CDATA[Mining Social Media Communities and Content]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content</link>
  <description><![CDATA[Ph.D. Dissertation Defense


Social Media is changing the way we find information, share knowledge and
communicate with each other. The important factor contributing to the growth
of these technologies is the ability to easily produce "user-generated
content". Blogs, Twitter, Wikipedia, Flickr and YouTube are just a few
examples of Web 2.0 tools that are drastically changing the Internet landscape
today. These platforms allow users to produce, annotate and share information
with thei...]]></description>
  <dc:date>2008-10-16</dc:date>
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 <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>
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  <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/129/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web">
  <title><![CDATA[BayesOWL: A Probabilistic Framework  for Uncertainty in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/129/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</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>
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 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web (pdf)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</dc:date>
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