<?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/blogosphere/">
  <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/blogosphere/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
    <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/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/216/Spam-in-Blogs-and-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection"/>
   </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/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation �Semantic Web� will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The begin...]]></description>
  <dc:date>2003-10-01</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/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
  <title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere</link>
  <description><![CDATA[Blogs have become a means by which new ideas and information spreads rapidly on the web. 
They often discuss the latest trends and echo with reactions on different events in the world. 
The collective wisdom present on the blogosphere is invaluable for market researchers 
and companies launching new products. In this paper, we validate the effectiveness of some of the
influence models on the blogosphere. We validate the robustness of different heuristics in 
presence of splogs or spam bl...]]></description>
  <dc:date>2006-03-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish information, engage in discussions, and form communities on the Internet. The Blogosphere has unfortunately been infected by several varieties of spam-like content. Blog search engines, for example, are inundated by posts from splogs – false blogs with machine generated or hijacked content whose sole purpose is to host ads or raise the PageRank of target sites. We discuss how SVM models based on local and link-based features can be used t...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
  <title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere</link>
  <description><![CDATA[ebiquity meeting presentation 04/12/06]]></description>
  <dc:date>2006-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media">
  <title><![CDATA[On Leveraging Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media</link>
  <dc:date>2007-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/216/Spam-in-Blogs-and-Social-Media">
  <title><![CDATA[Spam in Blogs and Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/216/Spam-in-Blogs-and-Social-Media</link>
  <description><![CDATA[Spam on the Internet dates back over a decade, with its earliest known appearance as an email about the infamous MAKE.MONEY.FAST. campaign. Spam has co-evolved with Internet applications and is now quite common on the World-Wide Web.


As social media systems such as blogs, wikis and bookmark sharing sites have emerged, spammers have quickly developed techniques to infect them as well. The very characteristics underlying the Web, be it version 1.0, 2.0 or 3.0, also enable new varieties o...]]></description>
  <dc:date>2007-04-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging">
  <title><![CDATA[The Business of Blogging]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging</link>
  <description><![CDATA[Blogs are radically changing the face of communications on the Internet.
Beyond publishing content, blogs enable users to engage in conversation and form tight knit communities, constituting a highly influential subset on the Web. While the benefit of blogs to individuals is well studied, their
utility for an enterprise is less well understood.


This presentation details how enterprises can benefit from adopting blogs, internally, and externally, in the context of IBM.  We discuss how b...]]></description>
  <dc:date>2006-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection">
  <title><![CDATA[The Multi-Relational Blogosphere: Empirical Characterization and Spam Protection]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information,
engage in discussions and form communities. Blogs collectively constitute 
the blogosphere, a highly influential and dynamic subset on the Web. The 
nature of their content and publishing infrastructure requires that they be
modeled, harvested and analyzed differently from the rest of the web.


We first propose a model for the blog graph that extends the more general 
web graph. The web is viewed as a graph G...]]></description>
  <dc:date>2006-05-10</dc:date>
 </item>
</rdf:RDF>
