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 <channel rdf:about="http://ebiquity.umbc.edu/tag/semantics/">
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/83/Dynamic-Service-Discovery-for-Mobile-Computing-Intelligent-Agents-Meet-Jini-in-the-Aether"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/249/Using-Automatic-Word-Sense-Discrimination-to-generate-a-Semantic-Lexicon"/>
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  <title>UMBC ebiquity research group</title>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/83/Dynamic-Service-Discovery-for-Mobile-Computing-Intelligent-Agents-Meet-Jini-in-the-Aether">
  <title><![CDATA[Dynamic Service Discovery for Mobile Computing: Intelligent Agents Meet Jini in the Aether]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/83/Dynamic-Service-Discovery-for-Mobile-Computing-Intelligent-Agents-Meet-Jini-in-the-Aether</link>
  <description><![CDATA[The emergence of ad-hoc pervasive connectivity for devices
based on Bluetooth-like systems provides a new way to create applications for mobile systems. We seek to realize ubiquitous computing systems based on the cooperation of autonomous, dynamic and adaptive components (hardware as
well as software) which are located in vicinity of one another.
In this paper we present this vision. We also describe a prototype system we have developed that implements parts of
this vision { in particula...]]></description>
  <dc:date>2001-02-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/249/Using-Automatic-Word-Sense-Discrimination-to-generate-a-Semantic-Lexicon">
  <title><![CDATA[Using Automatic Word Sense Discrimination to generate a  Semantic Lexicon]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/249/Using-Automatic-Word-Sense-Discrimination-to-generate-a-Semantic-Lexicon</link>
  <description><![CDATA[Automatic word sense discrimination is the process of distinguishing the 
number of unique senses of a target word in a given corpus. This work 
approaches word sense discrimination as an unsupervised clustering 
problem on the context of the target word in web documents.
Using the features from the computed clusters, the system constructs a 
new lexicon entry for the target word which includes the semantic and 
syntactic constraints for each discriminated sense. The lexicon entries 
a...]]></description>
  <dc:date>2008-07-07</dc:date>
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