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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/expert system/?t=expert+system">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/expert system/?t=expert+system]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for expert system]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web"/>
      <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/1065/Sidekick-A-Personal-Agent-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/417/A-hybrid-intelligent-system-for-formulation-of-BCS-Class-II-drugs-in-hard-gelatin-capsules"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/109/A-Personal-Agent-Application-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/684/Meta-interpreters-for-rule-based-inference-under-uncertainty"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1105/Developing-an-Expert-System-for-Hazardous-Waste-Remediation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1094/Characterizing-Knowledge-Depth-in-Intelligent-Safety-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/571/Meta-Interpreters-for-Rule-Based-Reasoning-Under-Uncertainty"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/560/The-Need-for-User-Models-in-Generating-Expert-System-Explanations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/978/Prolog-Meta-Interpreters-for-Rule-Based-Inference-Under-Uncertainty"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding"/>
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 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web">
  <title><![CDATA[A Personal Agent Application for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision to simplify and improve knowledge
   reuse on the Web. It is all set to alter the way humans benefit
   from the web from active interaction to somewhat passive
   utilization through the proliferation of software agents and in
   particular personal assistants that can better function and thrive
   on the Semantic Web than the conventional web. Agents can parse,
   understand and reason about information available on Semantic Web
   pages in an attempt...]]></description>
  <dc:date>2001-09-01</dc:date>
 </item>
 <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/1065/Sidekick-A-Personal-Agent-for-the-Semantic-Web">
  <title><![CDATA[Sidekick: A Personal Agent for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1065/Sidekick-A-Personal-Agent-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision for simplifying and improving knowledge reuse on the Web. It is all set to alter how humans benefit from the Web, from active interaction to somewhat passive use, through the proliferation of software agents and, in particular, personal assistants that can function and thrive on the Semantic Web more effectively than on the conventional Web. Agents can parse, understand, and reason about information available on Semantic Web pages to meet users’ needs. Such pers...]]></description>
  <dc:date>2002-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/417/A-hybrid-intelligent-system-for-formulation-of-BCS-Class-II-drugs-in-hard-gelatin-capsules">
  <title><![CDATA[A hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/417/A-hybrid-intelligent-system-for-formulation-of-BCS-Class-II-drugs-in-hard-gelatin-capsules</link>
  <description><![CDATA[In this paper, we describe a hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules. Several significant challenges are involved in drug-formulation: the active ingredients and the fillers in the capsule must be chemically compatible according to bio-pharmaceutical principles; the formulation must be manufacturable; and it must meet the prescribed drug release requirement. Traditional trial and error approach to drug-formulation design is too costly and time ...]]></description>
  <dc:date>2002-11-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/109/A-Personal-Agent-Application-for-the-Semantic-Web">
  <title><![CDATA[A Personal Agent Application for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/109/A-Personal-Agent-Application-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision to simplify and improve knowledge reuse on the Web. It is all set to alter the way humans benefit from the Web from active interaction to somewhat passive utilization through the proliferation of software agents and, in particular, personal assistants that can better function and thrive on the Semantic Web than the conventional Web. Agents can parse, understand and reason about information available on Semantic Web pages in an attempt to use it to meet users’ ne...]]></description>
  <dc:date>2002-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/684/Meta-interpreters-for-rule-based-inference-under-uncertainty">
  <title><![CDATA[Meta-interpreters for rule-based inference under uncertainty]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/684/Meta-interpreters-for-rule-based-inference-under-uncertainty</link>
  <description><![CDATA[One of the key challenges in designing expert is a credible representation of uncertainty and partial belief. During the past decade, a number of rule-based belief languages were proposed and implemented in applied systems. Due to their quasi-probabilistic nature, the external validity of these languages is an open question. This paper discusses the theory of belief revision in expert systems through a canonical belief calculus model which is invariant across different languages. A meta-inter...]]></description>
  <dc:date>1990-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1105/Developing-an-Expert-System-for-Hazardous-Waste-Remediation">
  <title><![CDATA[Developing an Expert System for Hazardous Waste Remediation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1105/Developing-an-Expert-System-for-Hazardous-Waste-Remediation</link>
  <description><![CDATA[Expert system methodology has been receiving considerable
attention as a useful tool in the solution of those complex
problems requiring the application of expertise. Familiar examples
include medical diagnostics. Another area in which the
role of expertise is crucial is in the remediation of sites which
have become contaminated as a result of the disposal of hazardous
wastes. In the following paragraphs, the development
of such an expert system is detailed.]]></description>
  <dc:date>1989-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1094/Characterizing-Knowledge-Depth-in-Intelligent-Safety-Systems">
  <title><![CDATA[Characterizing Knowledge Depth in Intelligent Safety Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1094/Characterizing-Knowledge-Depth-in-Intelligent-Safety-Systems</link>
  <description><![CDATA[Intelligent process control may be viewed as encompassing four major tasks. An intelligent agent must monitor the target system to obtain the values of relevant stale variables in order to detect problems and ascertain the status of the components that may be employed in responding to those problems. An intelligent agent must determine plans for managing the current situation. An intelligent agent must select a response (the “best” one) through a process of plan evaluation. Finally, to ca...]]></description>
  <dc:date>1989-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/571/Meta-Interpreters-for-Rule-Based-Reasoning-Under-Uncertainty">
  <title><![CDATA[Meta-Interpreters for Rule-Based Reasoning Under Uncertainty]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/571/Meta-Interpreters-for-Rule-Based-Reasoning-Under-Uncertainty</link>
  <description><![CDATA[One of the key challenges in designing expert systems is a credible representation of uncertainty and partial belief. During the past decade, a number of rule-based belief languages were proposed and implemented in applied systems.Due to their quasi-probabilistic nature, the external validity of these languages is an open question. This paper discusses the theory of belief revision in expert systems through a canonical belief calculus model which is invariant across different languages. A met...]]></description>
  <dc:date>1989-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/560/The-Need-for-User-Models-in-Generating-Expert-System-Explanations">
  <title><![CDATA[The Need for User Models in Generating Expert System Explanations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/560/The-Need-for-User-Models-in-Generating-Expert-System-Explanations</link>
  <description><![CDATA[An explanation facility is an important component of an expert system, but current systems, for the most part, have neglected the importance of tailoring a system's explanations to the user. This paper explores the role of user modeling in generating expert system explanations, making the claim that individualized user models are essential to produce good explanations when the system users vary in their knowledge of the domain or in their goals, plans, and preferences. To make this argument, ...]]></description>
  <dc:date>1988-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/978/Prolog-Meta-Interpreters-for-Rule-Based-Inference-Under-Uncertainty">
  <title><![CDATA[Prolog  Meta-Interpreters for Rule-Based Inference Under Uncertainty]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/978/Prolog-Meta-Interpreters-for-Rule-Based-Inference-Under-Uncertainty</link>
  <description><![CDATA[Uncertain facts and inexact rules can be represented and processed in standard Prolog through meta-interpretation. This requires the specification of appropriate parsers and belief calculi. We present a meta-interpreter that takes a rule-based belief calculus as an external variable. The certainty-factors calculus and a heuristic Bayesian belief-update model are then implemented as stand-alone Prolog predicates. These, in turn, are bound to the meta-interpreter environment through second­ or...]]></description>
  <dc:date>1987-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding">
  <title><![CDATA[Sixty years of knowledge graphs for language understanding]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding</link>
  <description><![CDATA[There is a long history of using structured knowledge of one kind or another to support AI tasks, especially ones involving natural language understanding. Over the years, the names and details have changed, from semantic networks to frames to logic programs to databases to expert systems to knowledge bases to the semantic web and currently to knowledge graphs. However, a common thread is that an organized representation of knowledge that can be queried and evolved is a core component of many...]]></description>
  <dc:date>2019-09-19</dc:date>
 </item>
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