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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=unisys">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=unisys]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for unisys]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/337/The-Kernel-Text-Understanding-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/861/Unisys-description-of-the-Unisys-system-used-for-MUC-3"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1124/Unisys-MUC-3-test-results-and-analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-Integrating-AI-and-database-systems"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/337/The-Kernel-Text-Understanding-System">
  <title><![CDATA[The Kernel Text Understanding System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/337/The-Kernel-Text-Understanding-System</link>
  <description><![CDATA[This article describes KERNEL, a text understanding system developed at the Unisys
Center for Advanced Information Technology. KERNEL’s design is motivated by the need
to make complex interactions possible among system modules, and to control the amount
of reasoning done by those modules. We will explain how Kernel’s architecture meets these
needs, and how the architectures of similar systems compare in achieving the same goal.]]></description>
  <dc:date>1993-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/861/Unisys-description-of-the-Unisys-system-used-for-MUC-3">
  <title><![CDATA[Unisys: description of the Unisys system used for MUC-3]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/861/Unisys-description-of-the-Unisys-system-used-for-MUC-3</link>
  <description><![CDATA[This paper describes the Unisys MUC-3 text understanding system, a system based upon a three-tiered approach to text processing in which a powerful knowledge-based form of information retrieval plays a central role. This knowledge-based form of information retrieval makes it possible to define an effective level of text analysis that falls somewhere between what is possible with standard keyword-based information retrieval techniques and deep linguistic analysis.]]></description>
  <dc:date>1991-05-21</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1124/Unisys-MUC-3-test-results-and-analysis">
  <title><![CDATA[Unisys: MUC-3 test results and analysis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1124/Unisys-MUC-3-test-results-and-analysis</link>
  <description><![CDATA[The Unisys MUC-3 system is based on a three-tiered approach to text processing in which a novel and
quite powerful knowledge-based form of information retrieval plays a central role.]]></description>
  <dc:date>1991-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-Integrating-AI-and-database-systems">
  <title><![CDATA[The Intelligent Database Interface: Integrating AI and database systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-Integrating-AI-and-database-systems</link>
  <description><![CDATA[The Intelligent Database Interface (IDI) is a cache-based interface that is designed to provide Artificial Intelligence systems with efficient access to one or more databases on one or more remote database management systems (DBMSs).  It can be used to interface with a wide variety of different DBMSs with little or no modification since SQL is used to communicate with remote DBMSs, and the implementation of the IDI provides a high degree of portability. The query language of the IDI is a rest...]]></description>
  <dc:date>1990-08-01</dc:date>
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