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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/html/categorization/?t=categorization">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/83/Wikitology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1034/Re-imagining-the-Power-of-Priming-and-Framing-Effects-in-the-Context-of-Political-Crowdfunding-Campaigns"/>
      <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/392/Wikitology-Using-Wikipedia-as-an-Ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/232/Yahoo-as-an-Ontology-using-Yahoo-categories-to-describe-documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/253/Experiments-on-using-Yahoo-categories-to-describe-documents"/>
      <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/245/Wikitology-Wikipedia-as-an-ontology"/>
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 <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>
 <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/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices">
  <title><![CDATA[A Study of the Landscape of Privacy Policies of Smart Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices</link>
  <description><![CDATA[As the adoption of smart devices continues to permeate all aspects of our lives, concerns surrounding user privacy have become more pertinent than ever before. While privacy policies define the data management practices of their manufacturers, previous work has shown that they are rarely read and understood by users. Hence, automatic analysis of privacy policies has been shown to help provide users with appropriate insights. Previous research has extensively analyzed privacy policies of websi...]]></description>
  <dc:date>2023-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1034/Re-imagining-the-Power-of-Priming-and-Framing-Effects-in-the-Context-of-Political-Crowdfunding-Campaigns">
  <title><![CDATA[Re-imagining the Power of Priming and Framing Effects in the Context of Political Crowdfunding Campaigns]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1034/Re-imagining-the-Power-of-Priming-and-Framing-Effects-in-the-Context-of-Political-Crowdfunding-Campaigns</link>
  <description><![CDATA[through which politicians raise money to fund their election campaigns.  Divisive issues discussed in these campaigns may not only motivate donations but also could have a broader priming effect on people’s social opinions. In the U.S., more than one-third of the population with moderate opinions show a tendency to swing their opinion based on recent and more accessible events. In this paper, we ask: can such campaigns further prime people’s responses to partisan topics, even when we disc...]]></description>
  <dc:date>2022-04-27</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 with the annotation and categorization of documents and be used to model a person's current interests to improve search results, support business intelligence, or select 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 develope...]]></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/392/Wikitology-Using-Wikipedia-as-an-Ontology">
  <title><![CDATA[Wikitology: Using Wikipedia as an Ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/392/Wikitology-Using-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 have investigated using 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 through...]]></description>
  <dc:date>2008-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection">
  <title><![CDATA[SVMs for the Blogosphere: Blog Identification and Splog Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection</link>
  <description><![CDATA[Weblogs, or blogs have become an important new way to publish
information, engage in discussions and form communities. The
increasing popularity of blogs has given rise to search and analysis
engines focusing on the 'blogosphere'.  A key requirement of such
systems is to identify blogs as they crawl the Web.
While this ensures that only blogs are indexed, blog search engines
are also often overwhelmed by spam blogs (splogs). Splogs not only
incur computational overheads but also reduce...]]></description>
  <dc:date>2006-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/232/Yahoo-as-an-Ontology-using-Yahoo-categories-to-describe-documents">
  <title><![CDATA[Yahoo! as an Ontology - using Yahoo! categories to describe documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/232/Yahoo-as-an-Ontology-using-Yahoo-categories-to-describe-documents</link>
  <description><![CDATA[We suggest that one (or a collection) of names of
Yahoo! (or any other WWW indexer's) categories
can be used to describe the content of a document.
Such categories offer a standardized and universal
way for referring to or describing the nature of real
world objects, activities, documents and so on, and
may be used (we suggest) to semantically characterize
the content of documents. WWW indices,
like Yahoo! provide a huge hierarchy of categories
(topics) that touch every aspect of hum...]]></description>
  <dc:date>1999-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/253/Experiments-on-using-Yahoo-categories-to-describe-documents">
  <title><![CDATA[Experiments on using Yahoo! categories to describe documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/253/Experiments-on-using-Yahoo-categories-to-describe-documents</link>
  <description><![CDATA[We suggest that one (or a collection) of names of Yahoo! (or any other WWW indexer)
categories can be used to describe the content of a document. Such categories offer a standardized
and universal way for referring to or describing the nature of real-world objects, activities,
documents and so on, and may be used (we suggest) to semantically characterize the content
of documents. WWW indices, like Yahoo! provide a huge hierarchy of categories (topics) that
touch every aspect of human end...]]></description>
  <dc:date>1999-07-31</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/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 with the annotation and categorization of documents and be used to model a person's current interests to improve search results, support business intelligence, or select 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 pa...]]></description>
  <dc:date>2008-01-09</dc:date>
 </item>
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