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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/poster/?t=poster">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/poster/?t=poster]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for poster]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/453/Social-Media-Analytics-Digital-Footprints"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/450/An-energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/403/Mid-Atlantic-Student-Colloquium-on-Speech-Language-and-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/269/Generating-Libraries-for-Rapid-Wireless-Sensor-Network-Reconfiguration"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/30/ELVIS-poster-wins-award"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/942/Proceedings-of-the-Second-Workshop-on-Storytelling"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/744/Poster-Classifying-primary-outcomes-in-rheumatoid-arthritis-Knowledge-discovery-from-clinical-trial-metadata"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/617/ACM-HotMobile-2013-Poster-An-Energy-Efficient-Semantic-Context-Model-for-Managing-Privacy-on-Smartphones"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/592/Evaluating-the-Quality-of-a-Knowledge-Base-Populated-from-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/460/Improving-Binary-Classification-on-Text-Problems-using-Differential-Word-Features"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1113/Proceedings-of-the-workshop-on-Mobile-Interaction-with-the-Real-World-MIRW-2006-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/422/Proceedings-of-the-Poster-and-Demonstration-Session-at-the-7th-International-Semantic-Web-Conference"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/36/AI-UMBC-EDU-July-2004-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/396/Collaborative-Research-EAGER-SaTC-EDU-AI-and-Cybersecurity-from-Research-to-the-Classroom"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/137/DAS-poster"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/177/Detecting-Misbehavior-in-MANETs-Through-Cross-Layer-Analysis-May-2006-"/>
      <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/117/eBiquity-Poster-Jan-2005-Pervasive-Knowledge"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/116/eNcentive-Poster"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/251/iConnect-poster"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/453/Social-Media-Analytics-Digital-Footprints">
  <title><![CDATA[Social Media Analytics: Digital Footprints]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/453/Social-Media-Analytics-Digital-Footprints</link>
  <description><![CDATA[Social media has greatly impacted the way we communicate today. With approximately 3000 tweets/sec and 55 million FB status updates a day, it is a great way to disseminate information to users across the world.  However such a tool can also be used to disseminate misinformation in a quick and efficient manner which can have a harmful impact in multiple scenarios like national security cases, or business/marketing cases and hence needs to be curbed and kept in check. Our approach involves crea...]]></description>
  <dc:date>2013-04-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/450/An-energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones">
  <title><![CDATA[An energy efficient semantic context model for managing privacy on smartphones]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/450/An-energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones</link>
  <description><![CDATA[Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage from smart phones can have disastrous results. This is especially true as most enterprises are going to a Bring-Your-Own-Device (BYOD) model for mobile devices such as smartphones. We recognize this change as a potential threat to data privacy, both of the user and also of c...]]></description>
  <dc:date>2013-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media">
  <title><![CDATA[Privacy and Security in Online Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media</link>
  <description><![CDATA[With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and pri...]]></description>
  <dc:date>2013-03-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/403/Mid-Atlantic-Student-Colloquium-on-Speech-Language-and-Learning">
  <title><![CDATA[Mid-Atlantic Student Colloquium on Speech, Language and Learning]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/403/Mid-Atlantic-Student-Colloquium-on-Speech-Language-and-Learning</link>
  <description><![CDATA[The First Mid-Atlantic Student Colloquium on Speech, Language and Learning is a one-day event to be held at the Johns Hopkins University in Baltimore on Friday, 23 September 2011.  Its goal is to bring together students taking computational approaches to speech, language, and learning, so that they can introduce their research to the local student community, give and receive feedback, and engage each other in collaborative discussion.  Attendance is open to all and free but space is limited, ...]]></description>
  <dc:date>2011-09-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/269/Generating-Libraries-for-Rapid-Wireless-Sensor-Network-Reconfiguration">
  <title><![CDATA[Generating Libraries for Rapid Wireless Sensor Network Reconfiguration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/269/Generating-Libraries-for-Rapid-Wireless-Sensor-Network-Reconfiguration</link>
  <description><![CDATA[This talk discusses early research in the creation of libraries
for rapid wireless sensor network (WSN) reconfiguration.
Appropriate reconfiguration allows the WSN to save energy while
tracking a target. If the target moves slowly enough, the WSN can
successfully reconfigure itself during runtime.  However, a
fast-moving target forces the WSN to use more energy or risk
losing track of the target.

Our research explores the precomputation of libraries such that a
WSN can quickly choos...]]></description>
  <dc:date>2008-10-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/92/Swooge-and-Swangling-demonstration">
  <title><![CDATA[Swooge and Swangling demonstration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/92/Swooge-and-Swangling-demonstration</link>
  <description><![CDATA[We will demonstrate Swoogle and Swangling at the 2005 Semantic Web for National Security (SWANS) conference.  See the swoogle poster and the swangling poster that we will use.]]></description>
  <dc:date>2005-04-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/30/ELVIS-poster-wins-award">
  <title><![CDATA[ELVIS poster wins award]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/30/ELVIS-poster-wins-award</link>
  <description><![CDATA[Our ELVIS
poster presented by Joel Sachs and Cyndy Parr at the NBII All-Nodes Meeting was
given an award for the poster generating the most interest.
The poster describes a suite of tools being build as part of the NSF
and USGS sponsored SPIRE project
that is exploring how semantic web technologies can be used by
ecological biologists.

The ELVIS (the Ecosystem Location Visualization and Information
System) tool suite is motivated by the belief that food web structure
plays a role i...]]></description>
  <dc:date>2005-10-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents">
  <title><![CDATA[Knowledge Graph-driven Tabular Data Discovery from Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents</link>
  <description><![CDATA[Synthesizing information from collections of tables embedded within scientific and technical documents is increasingly critical to emerging knowledge-driven applications. Given their structural heterogeneity, highly domain-specific content, and diffuse context, inferring a precise semantic understanding of such tables is traditionally better accomplished through linking tabular content to concepts and entities in reference knowledge graphs. However, existing tabular data discovery systems are...]]></description>
  <dc:date>2023-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/942/Proceedings-of-the-Second-Workshop-on-Storytelling">
  <title><![CDATA[Proceedings of the Second Workshop on Storytelling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/942/Proceedings-of-the-Second-Workshop-on-Storytelling</link>
  <description><![CDATA[Human storytelling has existed for as far back as we can trace, and is thought to be fundamental to being human. Stories help share ideas, histories, and common ground. This workshop examines what storytelling is, its structure and components, and how it is expressed, with respect to state of the art in language and computation.  Part of grounding artificial intelligence work in human experience can involve the generation, understanding, and sharing of stories. This workshop highlights the di...]]></description>
  <dc:date>2019-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/744/Poster-Classifying-primary-outcomes-in-rheumatoid-arthritis-Knowledge-discovery-from-clinical-trial-metadata">
  <title><![CDATA[Poster: Classifying primary outcomes in rheumatoid arthritis: Knowledge discovery from clinical trial metadata]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/744/Poster-Classifying-primary-outcomes-in-rheumatoid-arthritis-Knowledge-discovery-from-clinical-trial-metadata</link>
  <description><![CDATA[Early prediction of treatment outcomes in RA clinical trials is critical for both patient safety and trial success. We hypothesize that an approach employing metadata of clinical trials could provide accurate classification of primary outcomes before trial implementation. We retrieved RA clinical trials metadata from ClinicalTrials.gov. Four quantitative outcome measures that are frequently used in RA trials, i.e., ACR20, DAS28, and AE/SAE, were the classification targets in the model. Classi...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/617/ACM-HotMobile-2013-Poster-An-Energy-Efficient-Semantic-Context-Model-for-Managing-Privacy-on-Smartphones">
  <title><![CDATA[ACM HotMobile 2013 Poster: An Energy Efficient Semantic Context Model for Managing Privacy on Smartphones]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/617/ACM-HotMobile-2013-Poster-An-Energy-Efficient-Semantic-Context-Model-for-Managing-Privacy-on-Smartphones</link>
  <description><![CDATA[Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage from smart phones can have disastrous results. This is especially true as most enterprises are going to a Bring-Your-Own-Device (BYOD) model for mobile devices such as smartphones. We recognize this change as a potential threat to data privacy, both of the user and also of c...]]></description>
  <dc:date>2013-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/592/Evaluating-the-Quality-of-a-Knowledge-Base-Populated-from-Text">
  <title><![CDATA[Evaluating the Quality of a Knowledge Base Populated from Text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/592/Evaluating-the-Quality-of-a-Knowledge-Base-Populated-from-Text</link>
  <description><![CDATA[The steady progress of information extraction systems has been helped by sound methodologies for evaluating their performance in controlled experiments.  Annual events like MUC, ACE and TAC have developed evaluation approaches enabling researchers to score and rank their systems relative to reference results.  Yet these evaluations have only assessed component technologies needed by a knowledge base population system; none has required the construction of a knowledge base that is then evaluat...]]></description>
  <dc:date>2012-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/460/Improving-Binary-Classification-on-Text-Problems-using-Differential-Word-Features">
  <title><![CDATA[Improving Binary Classification on Text Problems using Differential Word Features]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/460/Improving-Binary-Classification-on-Text-Problems-using-Differential-Word-Features</link>
  <description><![CDATA[We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of problems. The most common text classification approach uses a document's ngrams (words and short phrases) as its features and assigns feature values equal to their frequency or TF-IDF score relative to the training corpus. Our approach uses values computed as the product of an ngram's document frequency and the difference ...]]></description>
  <dc:date>2009-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1113/Proceedings-of-the-workshop-on-Mobile-Interaction-with-the-Real-World-MIRW-2006-">
  <title><![CDATA[Proceedings of the workshop on Mobile Interaction with the Real World (MIRW 2006)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1113/Proceedings-of-the-workshop-on-Mobile-Interaction-with-the-Real-World-MIRW-2006-</link>
  <description><![CDATA[Mobile devices have become a pervasive part of our everyday lives. People have mobile phones, smartphones, and PDAs, which they take with them almost everywhere. So far, these mobile devices have been mostly used for interactions between the user, her mobile device, and the services (phone calls, writing short messages, and organizer functionalities) she uses. In the last years, we saw increased interest in using mobile devices for interactions with other people (mobile gaming) and places (lo...]]></description>
  <dc:date>2006-09-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior">
  <title><![CDATA[Intrusion Detection:  Modeling System State to Detect and Classify Aberrant Behavior]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior</link>
  <description><![CDATA[We present a dual-phase host-based intrusion detection process. We have demonstrated, through experimental validation, that our process improves the current state of intrusion detection
capabilities. The first phase uses cluster analysis to compare samples of low-level
operating system data to an established model of normalcy. The second phase takes instances
of non-conforming data from phase-1, maps that data to instances of our target-centric ontology
and reasons over it. The reasoning ...]]></description>
  <dc:date>2004-02-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/422/Proceedings-of-the-Poster-and-Demonstration-Session-at-the-7th-International-Semantic-Web-Conference">
  <title><![CDATA[Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/422/Proceedings-of-the-Poster-and-Demonstration-Session-at-the-7th-International-Semantic-Web-Conference</link>
  <description><![CDATA[ISWC 2008 will hold a combined poster and demonstration session on Tuesday, October 28 at 6:30 pm. The Poster/Demo Session is an opportunity for presenting late-breaking results, ongoing research projects, and speculative or innovative work in progress. Posters and demos are intended to provide authors and participants with the ability to connect with each other and to engage in discussions about the work.]]></description>
  <dc:date>1999-10-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster">
  <title><![CDATA[AAAI 06 FTM Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster</link>
  <description><![CDATA[David Sifry's latest quarterly report on the state of the Blogosphere states that ``the size of the Blogosphere continues to double every six months". According to this report there are 33.5 million weblogs and many of these are actively posting. As the Blogosphere continues to grow, finding good quality feeds is becoming increasingly difficult. In this paper we present an analysis of the feeds subscribed by a set of publicly listed Bloglines users. Using the subscription information, we desc...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/36/AI-UMBC-EDU-July-2004-">
  <title><![CDATA[AI@UMBC.EDU (July 2004)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/36/AI-UMBC-EDU-July-2004-</link>
  <description><![CDATA[This poster is an overview of AI at UMBC and ihas been used for booths in several conferences.]]></description>
  <dc:date>2004-07-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/396/Collaborative-Research-EAGER-SaTC-EDU-AI-and-Cybersecurity-from-Research-to-the-Classroom">
  <title><![CDATA[Collaborative Research: EAGER SaTC-EDU: AI and Cybersecurity: from Research to the Classroom]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/396/Collaborative-Research-EAGER-SaTC-EDU-AI-and-Cybersecurity-from-Research-to-the-Classroom</link>
  <description><![CDATA[Poster presented at the 6th NSF Secure and Trustworthy Cyberspace Principal Investigator Meeting held in Pittsburg, PA on September 4-5, 2024.

This collaborative project between the University of Maryland, Baltimore County (UMBC) and the University of Illinois Urbana-Champaign (UIUC) addresses the research and educational aspects of combining AI and Cybersecurity. Our goals are to (1) carry out novel research on applying the latest AI techniques to cybersecurity problems and explore how at...]]></description>
  <dc:date>2024-09-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/137/DAS-poster">
  <title><![CDATA[DAS poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/137/DAS-poster</link>
  <description><![CDATA[Poster for the NSF Cyber Trust Annual Principal Investigator Meeting held 25-27 September in Newport Beach CA.  The poster provides an overview of the NSF sponsored Trust and Security forthe Semantic Web  project.]]></description>
  <dc:date>2005-09-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/177/Detecting-Misbehavior-in-MANETs-Through-Cross-Layer-Analysis-May-2006-">
  <title><![CDATA[Detecting Misbehavior in MANETs Through Cross-Layer Analysis (May 2006)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/177/Detecting-Misbehavior-in-MANETs-Through-Cross-Layer-Analysis-May-2006-</link>
  <description><![CDATA[Poster for the CSEE Research Review.]]></description>
  <dc:date>2006-05-04</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/117/eBiquity-Poster-Jan-2005-Pervasive-Knowledge">
  <title><![CDATA[eBiquity Poster (Jan 2005) Pervasive Knowledge]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/117/eBiquity-Poster-Jan-2005-Pervasive-Knowledge</link>
  <description><![CDATA[general eBiquity poster
titile is :Pervasive Knowledge eBiquity@UMBC.edu]]></description>
  <dc:date>2005-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/116/eNcentive-Poster">
  <title><![CDATA[eNcentive Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/116/eNcentive-Poster</link>
  <description><![CDATA[poster for  eNcentive project]]></description>
  <dc:date>2005-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Poster)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions
similar to the web. Real world blog networks resemble many properties of web
graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.
In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/251/iConnect-poster">
  <title><![CDATA[iConnect poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/251/iConnect-poster</link>
  <description><![CDATA[Poster for iConnect project.]]></description>
  <dc:date>2008-08-26</dc:date>
 </item>
</rdf:RDF>
