<?xml version="1.0"?>

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  <!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 event "http://ebiquity.umbc.edu/ontology/event.owl#">
  <!ENTITY person "http://ebiquity.umbc.edu/ontology/person.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:event = "&event;"
  xmlns:person = "&person;"
  xmlns:assert = "&assert;">
  <event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/228/Predicting-Appropriate-Semantic-Web-Terms-from-Words">
    <rdfs:label><![CDATA[Predicting Appropriate Semantic Web Terms from Words]]></rdfs:label>
    <event:title><![CDATA[Predicting Appropriate Semantic Web Terms from Words]]></event:title>
    <event:speaker><person:PhDStudent rdf:about="http://ebiquity.umbc.edu/person/html/Lushan/Han/"><person:name><![CDATA[Lushan  Han]]></person:name><rdfs:label><![CDATA[Lushan  Han]]></rdfs:label></person:PhDStudent></event:speaker>
    <event:startDate rdf:datatype="&xsd;dateTime">2008-02-26T10:00:00-05:00</event:startDate>
    <event:location><![CDATA[346 ITE]]></event:location>
    <event:abstract><![CDATA[The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. We describe a system that suggests appropriate RDF terms given semantically related English words and general domain and context information. We use the Swoogle Semantic Web search engine to provide RDF term and namespace statistics, the WorldNet lexical ontology to find semantically related words, and a naïve Bayes classifier to suggest terms. A customized graph data structure of related namespaces is constructed from Swoogle's database to speed up the classifier model learning and prediction time.]]></event:abstract>
    <event:tag><![CDATA[rdf]]></event:tag>
    <event:tag><![CDATA[semantic web]]></event:tag>
    <event:tag><![CDATA[swoogle]]></event:tag>
  </event:Event>

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

</rdf:RDF>
