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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/knowledge-based system/?t=knowledge-based+system">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/knowledge-based system/?t=knowledge-based+system]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for knowledge-based system]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/534/Knowledge-Based-Systems-and-Other-AI-Applications-for-Tableting"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1211/Specification-of-the-KQML-Agent-Communication-Language"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/311/The-DARPA-Knowledge-Sharing-Effort-Progress-Report"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/289/Enabling-Technology-for-Knowledge-Sharing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/348/Interactive-classification-A-technique-for-acquiring-and-maintaining-knowledge-bases"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/347/Natural-language-interactions-with-artificial-experts"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/680/Natural-language-interactions-with-artificial-experts"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1102/Interactive-Classification-as-a-Knowledge-Acquisition-Tool"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1090/Interactive-classification-a-technique-for-building-and-maintaining-knowledge-bases"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/534/Knowledge-Based-Systems-and-Other-AI-Applications-for-Tableting">
  <title><![CDATA[Knowledge-Based Systems and Other AI Applications for Tableting]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/534/Knowledge-Based-Systems-and-Other-AI-Applications-for-Tableting</link>
  <description><![CDATA[The pharmaceutical industry is under continual pressure to speed up the drug development process, reduce costs, and improve process design. At the same time, FDA’s new Process Analytical Technology initiatives encourage the building of product quality and the development of meaningful product and process specifications that are ultimately linked to clinical performance. Together, these two issues present significant challenges to formulation and process scientists because of the complex, ty...]]></description>
  <dc:date>2008-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1211/Specification-of-the-KQML-Agent-Communication-Language">
  <title><![CDATA[Specification of the KQML Agent-Communication Language]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1211/Specification-of-the-KQML-Agent-Communication-Language</link>
  <description><![CDATA[This document is a draft of an initial specification for the KQML agent communication language being developed by the external interfaces working group of the DARPA Knowledge Sharing E ort. KQML is intended to be a high-level language to be used by a knowledge-based system to share knowledge at runtime.]]></description>
  <dc:date>1993-06-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/311/The-DARPA-Knowledge-Sharing-Effort-Progress-Report">
  <title><![CDATA[The DARPA Knowledge Sharing Effort: Progress Report]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/311/The-DARPA-Knowledge-Sharing-Effort-Progress-Report</link>
  <description><![CDATA[Building knowledge-based systems today usually entails constructing a
new knowledge base from scratch.  Even if several groups of
researchers are working in the same general area, such as medicine or
electronic diagnosis, each team must develop its own knowledge base
from scratch. The cost of this duplication of effort has been high and
will become prohibitive as we build larger and larger
systems. Furthermore, a lack of methodology for sharing and
communicating knowledge poses a signi...]]></description>
  <dc:date>1992-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/289/Enabling-Technology-for-Knowledge-Sharing">
  <title><![CDATA[Enabling Technology for Knowledge Sharing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/289/Enabling-Technology-for-Knowledge-Sharing</link>
  <description><![CDATA[Building new knowledge-based systems today usually entails constructing new knowledge bases from scratch. It could instead be done by assembling reusable components. System developers would then only need to worry about creating the specialized knowledge and reasoners new to the specific task of their system. This new system would interoperate with existing systems, using them to perform some of its reasoning. In this way, declarative knowledge, problem-solving techniques, and reasoning servi...]]></description>
  <dc:date>1991-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/348/Interactive-classification-A-technique-for-acquiring-and-maintaining-knowledge-bases">
  <title><![CDATA[Interactive classification: A technique for acquiring and maintaining knowledge bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/348/Interactive-classification-A-technique-for-acquiring-and-maintaining-knowledge-bases</link>
  <description><![CDATA[The practical application of knowledge-based systems, such as in expert systems, often requires the maintenance of large amounts of declarative knowledge. As a knowledge base (KB) grows in size and complexity, it becomes more difficult to maintain and extend. Even someone who is familiar with the knowledge domain, how it is represented in the KB, and the actual contents of the current KB may have severe difficulties in updating it. Even if the difficulties can be tolerated, there is a very re...]]></description>
  <dc:date>1986-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/347/Natural-language-interactions-with-artificial-experts">
  <title><![CDATA[Natural language interactions with artificial experts]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/347/Natural-language-interactions-with-artificial-experts</link>
  <description><![CDATA[The aim of this paper is to justify why Natural Language (NL) interaction, of a very rich functionality, is critical to the effective use of Expert Systems and to describe what is needed and what has been done to support such interaction. Interactive functions discussed here include defining terms, paraphrasing, correcting misconceptions, avoiding misconceptions, and modifying questions.

Natural Language interfaces to database systems are already proving their worth. They allow users to ge...]]></description>
  <dc:date>1986-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/680/Natural-language-interactions-with-artificial-experts">
  <title><![CDATA[Natural language interactions with artificial experts]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/680/Natural-language-interactions-with-artificial-experts</link>
  <description><![CDATA[Natural Language (NL) interfaces to database systems are already proving their worth. They allow users to get at the database facts they want, without the need to become system wizards. In this paper, we are primarily concerned with NL interfaces for systems that do more than identify and retrieve facts. Such systems, often called knowledge-based systems, expert systems, or advisory systems, are expected to provide analyses and/or advice to users faced with real problems. Our main goals in th...]]></description>
  <dc:date>1986-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1102/Interactive-Classification-as-a-Knowledge-Acquisition-Tool">
  <title><![CDATA[Interactive Classification as a Knowledge Acquisition Tool]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1102/Interactive-Classification-as-a-Knowledge-Acquisition-Tool</link>
  <description><![CDATA[The practical application of knowledge-based systems, such as in expert systems, often requires the maintenance of large amounts of declarative knowledge. ·As a knowledge base (KB) grows in size and complexity, it becomes more difficult to maintain and extend. Even someone who is familiar with the knowledge domain, how it is represented in the KB, and the actual contents of the current KB may have severe difficulties in updating it. Even if the difficulties can be tolerated, there is a very ...]]></description>
  <dc:date>1986-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1090/Interactive-classification-a-technique-for-building-and-maintaining-knowledge-bases">
  <title><![CDATA[Interactive classification: a technique for building and maintaining knowledge bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1090/Interactive-classification-a-technique-for-building-and-maintaining-knowledge-bases</link>
  <description><![CDATA[The practical application of knowledge-based systems, such as expert systems, often requires the maintenance of large amounts of declarative knowledge. As a knowledge base grows in size and complexity, it becomes more difficult to maintain and extend. Even someone who is familiar with the representation and the contents of the existing knowledge base may introduce inconsistencies and errors whenever an addition or modification is made. This paper describes an approach to this problem based on...]]></description>
  <dc:date>1984-12-03</dc:date>
 </item>
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