<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//tags/html/?t=opinions">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=opinions]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for opinions]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/443/Virtual-Collaboration-and-Training-in-Medicine-through-Multimedia-e-Learning-system"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/317/PhD-Proposal-Automatic-Domain-Adaptive-Sentiment-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/178/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/177/Tracking-Influence-and-Opinions-in-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/164/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey"/>
      <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/843/An-Integrated-Knowledge-Graph-to-Automate-GDPR-and-PCI-DSS-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/620/Identifying-and-characterizing-user-communities-on-Twitter-during-crisis-events"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/359/A-Framework-for-Modeling-Influence-Opinions-and-Structure-in-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/353/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/27/Social-media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/183/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/178/Search-Engines-for-Semantic-Web-Knowledge"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/179/Searching-for-Knowledge-and-Data-on-the-Semantic-Web"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/443/Virtual-Collaboration-and-Training-in-Medicine-through-Multimedia-e-Learning-system">
  <title><![CDATA[Virtual Collaboration and Training in Medicine through Multimedia e-Learning system]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/443/Virtual-Collaboration-and-Training-in-Medicine-through-Multimedia-e-Learning-system</link>
  <description><![CDATA[Virtual Collaboration and Training in Medicine through Multimedia e-Learning system

Web-based virtual collaboration is increasingly gaining popularity in almost every area in our society due to the fact that it can bridge the gap imposed by time and geographical constraints. However, in the medical field, such collaboration has been less popular. Some of the reasons were timeliness, security, and preciseness of the information they are dealing with. We propose a web-based distributed medic...]]></description>
  <dc:date>2013-02-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics">
  <title><![CDATA[Visiting students' presentations - Social Media Analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics</link>
  <description><![CDATA[This week's ebiquity lab meeting will comprise of presentations by the visiting PhD students from India - Aditi Gupta and Paridhi Jain.


Aditi will present 'Mining online social media (Twitter) content during crisis events'.



Abstract: Online social media provides people with a platform to disseminate ideas, learn information, explore knowledge, and express their opinions on diverse topics. Especially during crisis and emergency situations, there is a sudden rise in activity over th...]]></description>
  <dc:date>2012-02-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/317/PhD-Proposal-Automatic-Domain-Adaptive-Sentiment-Analysis">
  <title><![CDATA[PhD Proposal : Automatic	Domain Adaptive Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/317/PhD-Proposal-Automatic-Domain-Adaptive-Sentiment-Analysis</link>
  <description><![CDATA[Sentiment analysis is the automatic detection and measurement of opinions and emotions expressed in text segments by machines. However, sentiment is highly domain dependent. This is particularly troubling given the scale and variety of topics seen on the web. Providing sentiment analysis on the web requires more than the standard single domain machine learning approach. In this talk I describe a plan to overcome domain dependence by breaking down documents into three different types of signal...]]></description>
  <dc:date>2009-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content">
  <title><![CDATA[Mining Social Media Communities and Content]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content</link>
  <description><![CDATA[Ph.D. Dissertation Defense


Social Media is changing the way we find information, share knowledge and
communicate with each other. The important factor contributing to the growth
of these technologies is the ability to easily produce "user-generated
content". Blogs, Twitter, Wikipedia, Flickr and YouTube are just a few
examples of Web 2.0 tools that are drastically changing the Internet landscape
today. These platforms allow users to produce, annotate and share information
with thei...]]></description>
  <dc:date>2008-10-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence">
  <title><![CDATA[Communities in Social Media: An Eyepiece into Context, User Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence</link>
  <description><![CDATA[Communities are central to online social media systems and detecting their structure and membership is critical for many applications. In this talk, I will discuss some of our recent research on both identifying communities and analyzing their content. We leverage the special properties of Social Media data to analyze the communities in an attempt to understand user intentions, context and influence.

 Community detection techniques can be computationally expensive. An approach to reducing ...]]></description>
  <dc:date>2008-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and
Influencing the people.  Blogging by nature is about expressing
and listening to opinion, the job of a politician is to both
represent and lead the people, good sentiment detection tools,
for blogs and other social media, tailored to politics are a must
for today's society. With the elections around the corner,
political blogs are vital to exerting and keeping political
influence over society.  Currently, no sentiment analysis...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media">
  <title><![CDATA[Tracking influence and opinions in social media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media</link>
  <description><![CDATA[Recently, social media such as forums, wikis and blogs, in
particular, are playing a notable role in influencing the
buying patterns of consumers.  Often a person looks for
opinions, user experiences and reviews on such sources
before purchasing a product.  Detecting influential nodes,
opinion leaders and understanding their role in how people
perceive and adopt a product or service provides a powerful
tool for marketing, advertising and business
intelligence. This requires new algori...]]></description>
  <dc:date>2006-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/178/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/178/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/177/Tracking-Influence-and-Opinions-in-Social-Media">
  <title><![CDATA[Tracking Influence and Opinions in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/177/Tracking-Influence-and-Opinions-in-Social-Media</link>
  <description><![CDATA[Social Media such as blogs, wikis, formus and user-generated content
sites like flickr,
delicious and youtube have become both a source of information and
entertainment.
The size of audience that these sites currently yield is already rivaling
traditional main stream media sources like television, newspapers and
magazines.
Blogs, especially, have been reported to play a notable role in
influencing the buying patterns of consumers. Often a buyer looks for
opinions, user experiences an...]]></description>
  <dc:date>2006-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/164/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/164/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-07-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006">
  <title><![CDATA[Looking back at the ebiquity research group's 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006</link>
  <description><![CDATA[Maybe it's a bit of a cliché, but this is the traditional time to look back on the past year and reflect on how things are going.  It has been an active productive year.  Here's a rundown of our past year by the numbers.

205,000 is the number of visits to the Ebiquity web site.  Our monthly page visits increased five fold over the year and we currently receive about 25,000 visits a month.


   



743 people have
registered as users of the Swoogle
semantic web search system.  By ...]]></description>
  <dc:date>2007-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009">
  <title><![CDATA[Indian Election 2009]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009</link>
  <description><![CDATA[The project is available at http://indianelections09.umbc.edu/


This project is devoted to an analysis of the online articles, in the MSM and Social Media, about Indian Elections that will take place in 2009. We analyze the Vox Bloguli to see if it reflects Vox Populi, as far as Indian Elections 2009 are concerned. We also maintain a blog that identifies the issues, events, and personalities associated with the elections. We supplement this with an analysis of the information ecology in M...]]></description>
  <dc:date>2008-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey">
  <title><![CDATA[Computational Understanding of Narratives: A Survey]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey</link>
  <description><![CDATA[Storytelling and the delivery of societal narratives enable human beings to communicate, connect, and understand one another and the world around them. Narratives can be defined as spoken, visual, or written accounts of interconnected events and actors, generally evolving through some notion of time. Today, information is typically conveyed over online communication mediums, such as social media and blogging websites. Consequently, the act of narrative delivery itself has shifted from simply ...]]></description>
  <dc:date>2022-09-05</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/843/An-Integrated-Knowledge-Graph-to-Automate-GDPR-and-PCI-DSS-Compliance">
  <title><![CDATA[An Integrated Knowledge Graph to Automate GDPR and PCI DSS Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/843/An-Integrated-Knowledge-Graph-to-Automate-GDPR-and-PCI-DSS-Compliance</link>
  <description><![CDATA[Big data analytics related to consumer behavior,
market analysis, opinions, and recommendation often deal with
end user's derived and inferred data, along with the observed
data. To ensure consumer data protection, rules defined by the
European Union’s General Data Protection Regulation (EU
GDPR) must be adhered to by every organization
using Personally Identifiable Information (PII) data for Big
Data analysis. Similarly, Payment Card Industry Data Security
Standard (PCI DSS) has po...]]></description>
  <dc:date>2018-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/620/Identifying-and-characterizing-user-communities-on-Twitter-during-crisis-events">
  <title><![CDATA[Identifying and characterizing user communities on Twitter during crisis events]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/620/Identifying-and-characterizing-user-communities-on-Twitter-during-crisis-events</link>
  <description><![CDATA[Twitter is a prominent online social media which is used to share information and opinions. Previous research has shown that current real world news topics and events dominate the discussions on Twitter. In this paper, we present a preliminary study to identify and characterize communities from a set of users who post messages on Twitter during crisis events. We present our work in progress by analyzing three major crisis events of 2011 as case studies (Hurricane Irene, Riots in England, and ...]]></description>
  <dc:date>2012-10-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis">
  <title><![CDATA[Delta TFIDF: An Improved Feature Space for Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis</link>
  <description><![CDATA[Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words feature set. We present Delta TFIDF, an intuitive general purpose technique to efficiently weight word scores before classification. Delta TFIDF is easy to compute, implement, and understand. We use Support Vector Machines to show that Delta TFIDF significantly improves accuracy for sentiment analysis problems using t...]]></description>
  <dc:date>2009-05-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities">
  <title><![CDATA[The Information ecology of social media and online communities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities</link>
  <description><![CDATA[Social media systems such as weblogs, photo- and link-sharing sites, wikis, and online forums are currently thought to produce up to one-third of new Web content. One thing that sets these ``Web 2.0'' sites apart from traditional Web pages and resources is that they are intertwined with other forms of networked data. Their standard hyperlinks are enriched by social networks, comments, trackbacks, advertisements, tags, RDF data, and metadata.  We describe recent work on building systems that u...]]></description>
  <dc:date>2008-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media">
  <title><![CDATA[Web 2.0 Mining: Analyzing Social Media]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media</link>
  <description><![CDATA[Social media systems such as blogs, photo and link
sharing sites, wikis and on-line forums are estimated
to produce up to one third of new Web content. One
thing that sets these ”Web 2.0” sites apart from traditional
Web pages and resources is that they are intertwined
with other forms of networked data. Their standard
hyperlinks are enriched by social networks, comments,
trackbacks, advertisements, tags, RDF data and
metadata. We describe recent work on building systems
that ana...]]></description>
  <dc:date>2007-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/359/A-Framework-for-Modeling-Influence-Opinions-and-Structure-in-Social-Media">
  <title><![CDATA[A Framework for Modeling Influence, Opinions and Structure in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/359/A-Framework-for-Modeling-Influence-Opinions-and-Structure-in-Social-Media</link>
  <description><![CDATA[The Blogosphere provides an interesting opportunity to study social 
interactions. Blogs provide a channel to express opinions, facts and 
thoughts. Through these pieces of information, also known as memes, 
bloggers influence each other and engage in conversations that ultimately 
lead to exchange of ideas and spread of information. We aim to characterize 
and model the Blogosphere to study the spread of influence, 
opinion formation and social interaction. Further, we propose 
a simp...]]></description>
  <dc:date>2007-04-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/353/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web">
  <title><![CDATA[Finding Data, Knowledge, and Answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/353/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-02-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/27/Social-media">
  <title><![CDATA[Social media]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/27/Social-media</link>
  <description><![CDATA["Social media describes the online technologies and practices that people use to share opinions, insights, experiences, and perspectives. Social media can take many different forms, including text, images, audio, and video. These sites typically use technologies such as blogs, message boards, podcasts, wikis, and vlogs to allow users to interact." (Wikipedia)

The UMBC ebqiuty group as a number of project that involve one or more aspects of social media, inlcuing online games, weblog spam d...]]></description>
  <dc:date>2026-04-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web">
  <title><![CDATA[Finding Data, Knowledge, and Answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/183/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/183/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-07-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-05-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/178/Search-Engines-for-Semantic-Web-Knowledge">
  <title><![CDATA[Search Engines for Semantic Web Knowledge]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/178/Search-Engines-for-Semantic-Web-Knowledge</link>
  <description><![CDATA[Web search engines like Google have made people “smarter” by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The World-Wide Web Consortium's Semantic Web effort aims to make such knowledge more accessible to computer programs by encoding it on the Web in machine understandable form.  The W3C has developed the “markup language” RDF and its extension OWL as standards for expressing knowledge and data and build...]]></description>
  <dc:date>2006-05-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/179/Searching-for-Knowledge-and-Data-on-the-Semantic-Web">
  <title><![CDATA[Searching for Knowledge and Data  on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/179/Searching-for-Knowledge-and-Data-on-the-Semantic-Web</link>
  <description><![CDATA[Workshop on Humans and the Semantic Web, College Park, MD 2 June 2006.

Web search engines like Google have made people "smarter" by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The World-Wide Web Consortium's Semantic Web effort aims to make such knowledge more accessible to computer programs by encoding it on the Web in machine understandable form. The W3C has developed the "markup language" RDF and its exten...]]></description>
  <dc:date>2006-06-02</dc:date>
 </item>
</rdf:RDF>
