<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
  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.
-->
 <channel rdf:about="http://ebiquity.umbc.edu/tag/text mining/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/text mining/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment">
  <title><![CDATA[Text Mining Approach to Ontology Enrichment]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment</link>
  <description><![CDATA[Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of semantic web, hence, very crucial for the success of semantic web. Huge effort is needed from the domain expert in order to construct ontologies manually. There is a need for semi-automatic approach in ontology building which will help the domain expert in constructing extensive domain ontologies efficiently. We propose the use of text mining technique...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions">
  <title><![CDATA[Feeds That Matter: A Study of Bloglines Subscriptions]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions</link>
  <description><![CDATA[David Sifry's latest quarterly report on the state of the Blogosphere states that  ``the size of the Blogosphere continues
to double every six months". According to this report there are 33.5
million weblogs and many of these are actively posting. As the
Blogosphere continues to grow, finding good quality feeds is becoming
increasingly difficult. In this paper we present an analysis of the
feeds subscribed by a set of publicly listed Bloglines users. Using
the subscription information, ...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies">
  <title><![CDATA[Mining Domain Specific Texts and Glossaries to Evaluate and Enrich Domain Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies</link>
  <description><![CDATA[Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of semantic web, hence, very crucial for the success of semantic web. This paper discusses a fast and efficient method to facilitate the evaluation and enrichment of domain ontologies using a text-mining approach. We exploit domain specific texts and glossaries or dictionaries in order to automatically generate g-groups and f-groups. These groups are sets...]]></description>
  <dc:date>2004-06-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity">
  <title><![CDATA[situational awareness for cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity</link>
  <description><![CDATA[We describe a current project    aimed at developing a situational awareness framework to (1) detect potential new vulnerabilities from Web descriptions and discussions, extract information and map to IDS knowledge base, (2) recognize potential attacks and intrusions in data from low level intrusion detection systems and map to IDS knowledge base, and (3) integrate and reason over results of (1) and (2) to identify actual attacks.]]></description>
  <dc:date>2011-10-21</dc:date>
 </item>
</rdf:RDF>

