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<!--
  This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu/tag/information extraction/">
  <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/information extraction/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/388/OWL-as-a-Target-for-Information-Extraction-Systems-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/261/Integrating-Language-Understanding-Agents-Into-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/149/Automatically-Generated-DAML-Markup-for-Semistructured-Documents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base"/>
    <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/319/Generic-knowledge-acquisition-and-representation"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/256/Information-Extraction-via-Automatic-Generation-of-Semantic-Classifiers"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/252/Wikitology-Wikipedia-as-an-ontology-"/>
   </rdf:Seq>
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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>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/388/OWL-as-a-Target-for-Information-Extraction-Systems-">
  <title><![CDATA[OWL as a Target for Information Extraction Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/388/OWL-as-a-Target-for-Information-Extraction-Systems-</link>
  <description><![CDATA[Current information extraction systems can do a good job of discovering entities, relations and events in natural language text.  The traditional out- 
put of such systems is XML, with the ACE Pilot Format (APF) schema as a 
common target.  We are developing a system that will take the output of an information extraction system as APF documents and directly populate a knowledge base with the information extracted.  We report on an initial OWL ontology that covers the APF schema, a simple pr...]]></description>
  <dc:date>2008-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/261/Integrating-Language-Understanding-Agents-Into-the-Semantic-Web">
  <title><![CDATA[Integrating Language Understanding Agents Into the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/261/Integrating-Language-Understanding-Agents-Into-the-Semantic-Web</link>
  <description><![CDATA[Many intelligent agents need knowledge and information to
support their reasoning and problem solving. The World
Wide Web is a vast, open, accessible and free source of
knowledge, but virtually all of it is encoded as natural language
text � a form difficult for most agents to directly understand.
We describe initial work on adapting a mature language
understanding agent to process Web text and publish
its output in the SemanticWeb language OWL. This approach
adds knowledge on the W...]]></description>
  <dc:date>2005-11-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/149/Automatically-Generated-DAML-Markup-for-Semistructured-Documents">
  <title><![CDATA[Automatically Generated DAML Markup for Semistructured Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/149/Automatically-Generated-DAML-Markup-for-Semistructured-Documents</link>
  <description><![CDATA[The semantic web is becoming a realizable
technology due to the efforts of researchers to
develop semantic markup languages such as the
DARPA Agent Markup Language (DAML). A
major problem that faces the semantic web
community is that most information sources on the
web today lack semantic markup. To fully realize
the potential of the semantic web, we must find a
way to automatically upgrade information sources
with semantic markup. We have developed a
system based on the STALKER alg...]]></description>
  <dc:date>2004-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media">
  <title><![CDATA[Information extraction from social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media</link>
  <description><![CDATA[This presentation gives an overview of recent work at UMBC on extracting information from social media.]]></description>
  <dc:date>2006-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base">
  <title><![CDATA[Wikitology: A Wikipedia Derived Knowledge Base]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base</link>
  <description><![CDATA[Wikipedia is a freely available online encyclopedia developed by a community of users. This encyclopedia comprises of millions of articles. The depth and coverage of Wikipedia has attracted the attention of researchers for employing it as a knowledge resource for solving various problems. In this research we propose to exploit Wikipedia along with other related open knowledge sources to automatically generate Semantic knowledge. We discuss Wikipedia’s structure in detail and suggest hybrid ...]]></description>
  <dc:date>2009-02-06</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/319/Generic-knowledge-acquisition-and-representation">
  <title><![CDATA[Generic knowledge: acquisition and representation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/319/Generic-knowledge-acquisition-and-representation</link>
  <description><![CDATA[AI is beginning to make some dents in the "knowledge acquisition bottleneck", the problem of acquiring large amounts of general world knowledge to support language understanding and commonsense reasoning. Two text-based approaches to the problem are (1) to abstract such knowledge from patterns of predication and modification in miscellaneous texts, and (2) to derive such knowledge by direct interpretation of general statements in ordinary language, such as are found in lexicons and resources ...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/256/Information-Extraction-via-Automatic-Generation-of-Semantic-Classifiers">
  <title><![CDATA[Information Extraction via Automatic Generation of Semantic Classifiers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/256/Information-Extraction-via-Automatic-Generation-of-Semantic-Classifiers</link>
  <description><![CDATA[Information extraction is an important unsolved problem of natural
language processing (NLP). It is the problem of extracting entities
(such as people, organizations or locations) and named relations
between entities (such as "People born-in Country") from text
documents. An important challenge in information extraction is the
labeling of training data which is usually done manually and is
therefore very expensive.

This talk introduces a new "model" to generate training data with
le...]]></description>
  <dc:date>2008-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/252/Wikitology-Wikipedia-as-an-ontology-">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/252/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 ...]]></description>
  <dc:date>2008-08-28</dc:date>
 </item>
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