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 <channel rdf:about="http://ebiquity.umbc.edu/tag/wikitology/">
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  <link>http://ebiquity.umbc.edu/tag/wikitology/</link>
  <description><![CDATA[RSS Tag Search]]></description>
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/540/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/481/Approaches-for-Automatically-Enriching-Wikipedia"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/431/Using-Wikitology-for-Cross-Document-Entity-Coreference-Resolution"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/287/Making-software-agents-smarter"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/261/WIkipedia-as-an-ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/250/Wikitology-Wikipedia-as-an-ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/340/Tables-to-Linked-Data"/>
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 <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>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/540/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text">
  <title><![CDATA[Extracting Information about Security Vulnerabilities from Web Text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/540/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text</link>
  <description><![CDATA[The Web is an important source of information about computer security threats, vulnerabilities and cyber-attacks. We present initial work on developing a framework to detect and extract information about vulnerabilities and attacks from Web text. Our prototype system uses Wikitology, a general purpose knowledge base derived from Wikipedia, to extract concepts that describe specific vulnerabilities and attacks, map them to related concepts from DBpedia and generate machine understandable asser...]]></description>
  <dc:date>2011-08-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/481/Approaches-for-Automatically-Enriching-Wikipedia">
  <title><![CDATA[Approaches for Automatically Enriching Wikipedia]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/481/Approaches-for-Automatically-Enriching-Wikipedia</link>
  <description><![CDATA[We have been exploring the use of Web-derived knowledge
bases through the development of Wikitology - a hybrid
knowledge base of structured and unstructured information
extracted from Wikipedia augmented by RDF data from
DBpedia and other Linked Open Data resources. In this paper,
we describe approaches that aid in enriching Wikipedia
and thus the resources that derive from Wikipedia such as
the Wikitology knowledge base, DBpedia, Freebase and
Powerset.]]></description>
  <dc:date>2010-06-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/431/Using-Wikitology-for-Cross-Document-Entity-Coreference-Resolution">
  <title><![CDATA[Using Wikitology for Cross-Document Entity Coreference Resolution]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/431/Using-Wikitology-for-Cross-Document-Entity-Coreference-Resolution</link>
  <description><![CDATA[We describe the use of the Wikitology knowledge base as a resource for a variety of applications with special focus on a cross-document entity coreference resolution task. This task involves recognizing when entities and relations mentioned in different documents refer to the same object or relation in the world. Wikitology is a knowledge base system constructed with material from Wikipedia, DBpedia and Freebase that includes both unstructured text and semi-structured information.  Wikitology...]]></description>
  <dc:date>2009-03-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data">
  <title><![CDATA[Creating and Exploiting a Web of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet proto-cols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the ev...]]></description>
  <dc:date>2010-01-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/287/Making-software-agents-smarter">
  <title><![CDATA[Making software agents smarter]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/287/Making-software-agents-smarter</link>
  <description><![CDATA[Slides for an opening panel at the Second International Conference on Agents and Artificial Intelligence (ICAART 2010) held in Valencia Spain, 22-24 January 2010.]]></description>
  <dc:date>2010-01-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents like spreadsheets, database relations and tables in documents found on the Web and in print. The information in these tables might be much more valuable if it could be appropriately exported or encoded in RDF, making it easier to share, understand and integrate with other information. This is especially true if it could be linked into the growing linked data cloud. We describe techniques to automatically infer a (partial) se...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/261/WIkipedia-as-an-ontology">
  <title><![CDATA[WIkipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/261/WIkipedia-as-an-ontology</link>
  <description><![CDATA[There is a lot of 'semantic information' on the Web, the vast
majority of which is encoded as human language text. This is
especially true for content found on the social web, consisting
of blogs, Wikis, forums, and many other social media systems. One
way to accelerate the realization of the Semantic Web's vision of
a web of machine understandable data is to extract semantic
information from this text and publish it in structured or
semi-structured forms (e.g., RDF) using appropriate ...]]></description>
  <dc:date>2009-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/250/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/250/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Wikipedia has become an important source of online knowledge for people that is kept up to date and available in many languages. We describe an approach to extracting information from Wikipedia and related sources to construct an ontology and associated knowledge base. The core idea is to use Wikipedia's articles and associated pages as a topic ontology. The benefits of the approach are that the ontology terms are developed through a social process, maintained and kept current by the Wikipedi...]]></description>
  <dc:date>2008-08-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/340/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/340/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents
like spreadsheets, database relations and tables in documents found
on the Web and in print.  The information in these tables might be
much more valuable if it could be appropriately exported or encoded in
RDF, making it easier to share, understand and integrate with other
information.  This is especially true if it could be linked into the
growing linked data cloud.  We describe techniques to automatically
infer a (p...]]></description>
  <dc:date>2010-04-06</dc:date>
 </item>
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