<?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/wikipedia/">
  <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/wikipedia/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/83/Wikitology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/395/Wikitology-Wikipedia-as-an-ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/320/Computing-Trust-from-Revision-History"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/307/Investigations-into-Trust-for-Collaborative-Information-Repositories-A-Wikipedia-Case-Study"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology"/>
    <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/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-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/252/Wikitology-Wikipedia-as-an-ontology-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents"/>
   </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/research/area/id/24/Web-based-information-systems">
  <title><![CDATA[Web based information systems]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems</link>
  <description><![CDATA[The web has become the dominant medium that people use to share information, collaborate and cooperate.  We are sttudying how new Web based systems like blogs, wikis and web services are evolving.]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/83/Wikitology">
  <title><![CDATA[Wikitology]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/83/Wikitology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is
a task common to many applications. It can help in the annotation and
categorization of documents and be used to model a person's current
interests for improving search results, business intelligence or
selecting appropriate advertisements. We are investigating the use of
Wikipedia's articles and associated pages as a topic ontology for this
purpose. The benefits of the approach are that the ontology terms are
develo...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/395/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/395/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements. We are investigating the use of Wikipedia's articles and associated pages as a topic ontology for this purpose. The benefits of the approach are that the ontology terms are developed thr...]]></description>
  <dc:date>2008-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents">
  <title><![CDATA[Wikipedia as an Ontology for Describing Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements.  One approach is to associate a document with a set of topics selected from a fixed ontology or vocabulary of terms. We have investigated using Wikipedia's articles and associated pages ...]]></description>
  <dc:date>2008-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/320/Computing-Trust-from-Revision-History">
  <title><![CDATA[Computing Trust from Revision History]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/320/Computing-Trust-from-Revision-History</link>
  <description><![CDATA[A new model of distributed, collaborative information evolution is emerging. As exemplified in Wikipedia, online collaborative information repositories are being generated, updated, and maintained by a large and diverse community of users. Issues concerning trust arise when content is generated and updated by diverse populations. Since these information repositories are constantly under revision, trust determination is not simply a static process. In this paper, we explore ways of utilizing t...]]></description>
  <dc:date>2006-10-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/307/Investigations-into-Trust-for-Collaborative-Information-Repositories-A-Wikipedia-Case-Study">
  <title><![CDATA[Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/307/Investigations-into-Trust-for-Collaborative-Information-Repositories-A-Wikipedia-Case-Study</link>
  <description><![CDATA[As collaborative repositories grow in popularity and use, issues
concerning the quality and trustworthiness of information grow.
Some current popular repositories contain contributions from a wide
variety of users, many of which will be unknown to a potential end
user. Additionally the content may change rapidly and information
that was previously contributed by a known user may be updated
by an unknown user. End users are now faced with more
challenges as they evaluate how much they m...]]></description>
  <dc:date>2006-05-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology">
  <title><![CDATA[Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying the topics and concepts associated with a document
or collection of documents is a common task for many
applications. It can help in the annotation and categorization
of documents in a corpus. Knowing the topics of documents a
user has selected and viewed on the Web or from a collection
can be used to model the user's current topical interests for
improving search results, business intelligence or selecting
appropriate advertisements.

We are exploring the idea of using W...]]></description>
  <dc:date>2007-10-01</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/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/245/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements. One approach is to a associate a document with a set of topics selected from a fixed ontology or vocabulary of terms. We have investigated using Wikipedia's articles and associated ...]]></description>
  <dc:date>2008-01-09</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/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>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents">
  <title><![CDATA[Wikipedia as an ontology for describing documents]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents</link>
  <description><![CDATA[Identifying the topics and concepts associated with a
document or collection of documents is a common task for
many applications.  It can help in the annotation and
categorization of documents in a corpus. Knowing the topics
of documents a user has selected and viewed on the Web or
from a collection can be used to model the user's current
topical interests for improving search results, business
intelligence or selecting appropriate advertisements.

We are exploring the idea of using ...]]></description>
  <dc:date>2007-10-29</dc:date>
 </item>
</rdf:RDF>
