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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/278/BayesOWL-A-Probabilistic-Framework-for-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/249/A-Bayesian-Network-Approach-to-Ontology-Mapping"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/271/BayesOWL-Uncertainty-Modeling-in-Semantic-Web-Ontologies"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/278/BayesOWL-A-Probabilistic-Framework-for-Semantic-Web">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/278/BayesOWL-A-Probabilistic-Framework-for-Semantic-Web</link>
  <description><![CDATA[To address the difficult but important problem of modeling uncertainty in semantic web,
this research takes a probabilistic approach and develops 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: 1) a representation of probabilistic constraints as OWL
statements; 2) a set of structural translation rules and...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/249/A-Bayesian-Network-Approach-to-Ontology-Mapping">
  <title><![CDATA[A Bayesian Network Approach to Ontology Mapping]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/249/A-Bayesian-Network-Approach-to-Ontology-Mapping</link>
  <description><![CDATA[This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated as evidential reasoning between the two translated BN. Probabilities needed for constructing conditional probability tables (CPT...]]></description>
  <dc:date>2005-11-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/271/BayesOWL-Uncertainty-Modeling-in-Semantic-Web-Ontologies">
  <title><![CDATA[BayesOWL: Uncertainty Modeling in Semantic Web Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/271/BayesOWL-Uncertainty-Modeling-in-Semantic-Web-Ontologies</link>
  <description><![CDATA[It is always essential but di±cult to capture incomplete, partial or uncertain
knowledge when using ontologies to conceptualize an application domain or to
achieve semantic interoperability among heterogeneous systems. This chapter
presents an on-going research on developing a framework which augments and
supplements the semantic web ontology language OWL for representing and
reasoning with uncertainty based on Bayesian networks (BN), and its
application in ontology mapping.]]></description>
  <dc:date>2005-10-28</dc:date>
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