<?xml version="1.0"?>

<!DOCTYPE owl [
  <!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#">
  <!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#">
  <!ENTITY xsd "http://www.w3.org/2001/XMLSchema#">
  <!ENTITY owl "http://www.w3.org/2002/07/owl#">
  <!ENTITY cc "http://web.resource.org/cc/#">
  <!ENTITY project "http://ebiquity.umbc.edu/ontology/project.owl#">
  <!ENTITY person "http://ebiquity.umbc.edu/ontology/person.owl#">
  <!ENTITY pub "http://ebiquity.umbc.edu/ontology/publication.owl#">
  <!ENTITY assert "http://ebiquity.umbc.edu/ontology/assertion.owl#">]>

<!--
  This ontology document is licensed under the Creative Commons
  Attribution License. To view a copy of this license, visit
  http://creativecommons.org/licenses/by/2.0/ or send a letter to
  Creative Commons, 559 Nathan Abbott Way, Stanford, California
  94305, USA.
-->

<rdf:RDF 
  xmlns:rdf = "&rdf;"
  xmlns:rdfs = "&rdfs;"
  xmlns:xsd = "&xsd;"
  xmlns:owl = "&owl;"
  xmlns:cc = "&cc;"
  xmlns:project = "&project;"
  xmlns:person = "&person;"
  xmlns:pub = "&pub;"
  xmlns:assert = "&assert;">
  <pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/274/Rule-based-and-Ontology-based-Policies-Toward-a-Hybrid-Approach-to-Control-Agents-in-Pervasive-Environments-">
    <rdfs:label><![CDATA[Rule-based and Ontology-based Policies: Toward a Hybrid Approach to Control Agents in Pervasive Environments ]]></rdfs:label>
    <pub:title><![CDATA[Rule-based and Ontology-based Policies: Toward a Hybrid Approach to Control Agents in Pervasive Environments ]]></pub:title>
    <pub:publishedOn rdf:datatype="&xsd;dateTime">2005-11-07T00:00:00-05:00</pub:publishedOn>
    <pub:abstract><![CDATA[Policies are being increasingly used for controlling the behavior of
complex multi-agent systems. The use of policies allows administrators to regulate
agent behavior without changing source code or requiring the consent or
cooperation of the agents being governed. However, policy-based control can
sometimes encounter difficulties when applied to agents that act in pervasive
environments characterized by frequent and unpredictable changes. In such cases,
we cannot always specify policies a priori to handle any operative run time
situation, but instead require continuous adjustments to allow agents to behave in a
contextually appropriate manner. To address these issues, some policy approaches
for governing agents in pervasive environments specify policies in a way that is both
context-based and semantically-rich. Two approaches have been used in recent
research: an ontology-based approach that relies heavily on the expressive features
of Description Logic (DL) languages, and a rule-based approach that encodes
policies as Logic Programming (LP) rules. The aim of this paper is to analyze the
emerging directions for the specification of semantically-rich context-based policies,
highlighting their advantages and drawbacks. Based on our analysis we describe a
hybrid approach that exploits the expressive capabilities of both DL and LP
approaches.]]></pub:abstract>
    <pub:counter>840</pub:counter>
    <pub:googleKey>LCsBIs0jACgJ</pub:googleKey>
    <pub:googleCitations>16</pub:googleCitations>
    <pub:tag><![CDATA[rei]]></pub:tag>
    <pub:tag><![CDATA[policy]]></pub:tag>
    <pub:tag><![CDATA[pervasive computing]]></pub:tag>
    <pub:tag><![CDATA[mobile computing]]></pub:tag>
    <pub:booktitle><![CDATA[Proceedings of the Semantic Web and Policy Workshop]]></pub:booktitle>
    <pub:author>
       <rdf:List>
         <rdf:first><person:Collaborator rdf:about="http://ebiquity.umbc.edu/person/html/Alessandra/Toninelli/"><person:name><![CDATA[Alessandra  Toninelli]]></person:name><rdfs:label><![CDATA[Alessandra  Toninelli]]></rdfs:label></person:Collaborator></rdf:first>
         <rdf:rest>
           <rdf:List>
             <rdf:first><person:Collaborator rdf:about="http://ebiquity.umbc.edu/person/html/Jeffrey/Bradshaw/"><person:name><![CDATA[Jeffrey  Bradshaw]]></person:name><rdfs:label><![CDATA[Jeffrey  Bradshaw]]></rdfs:label></person:Collaborator></rdf:first>
             <rdf:rest>
               <rdf:List>
                 <rdf:first><person:PhDAlumnus rdf:about="http://ebiquity.umbc.edu/person/html/Lalana/Kagal/"><person:name><![CDATA[Lalana  Kagal]]></person:name><rdfs:label><![CDATA[Lalana  Kagal]]></rdfs:label></person:PhDAlumnus></rdf:first>
                 <rdf:rest>
                   <rdf:List>
                     <rdf:first><person:Collaborator rdf:about="http://ebiquity.umbc.edu/person/html/Rebecca/Montanari/"><person:name><![CDATA[Rebecca  Montanari]]></person:name><rdfs:label><![CDATA[Rebecca  Montanari]]></rdfs:label></person:Collaborator></rdf:first>
                     <rdf:rest rdf:resource="&rdf;nil" />
                   </rdf:List>
                 </rdf:rest>
               </rdf:List>
             </rdf:rest>
           </rdf:List>
         </rdf:rest>
       </rdf:List>
    </pub:author>
    <pub:firstAuthor><person:Collaborator rdf:about="http://ebiquity.umbc.edu/person/html/Alessandra/Toninelli/"><person:name><![CDATA[Alessandra  Toninelli]]></person:name><rdfs:label><![CDATA[Alessandra  Toninelli]]></rdfs:label></person:Collaborator></pub:firstAuthor>
    <pub:softCopy><pub:SoftCopy>
      <pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
      <pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/225.pdf]]></pub:softCopyURI>
      <pub:softCopySize>175119</pub:softCopySize>
    </pub:SoftCopy></pub:softCopy>
  </pub:InProceedings>

  <rdf:Description rdf:about="">
    <cc:License rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  </rdf:Description>

</rdf:RDF>
