<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=text">
  <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=text]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for text]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/14/International-Symposium-of-Web-Intelligence-and-Security"/>
      <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/481/Are-you-in-control-or-being-controlled-in-your-vehicle-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/473/Taming-Wild-Big-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/40/Platys-From-Position-to-Place-in-Next-Generation-Networks"/>
      <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/getnews/html/id/33/SemNews-news-text-to-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/18/UMBC-ebiquity-group-launches-four-new-PhDs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/17/Harry-Chen-defends-dissertation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/4/Agents2Go"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/70/CoCoNet-Content-and-Context-Aware-Networking"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/1/Context-Broker-Architecture-CoBrA-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/79/Context-Aware-Surgical-Training"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/39/Intelligent-Personal-Agent"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/24/MOWSER-Wireless-Web-Access"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/101/MTLD-Interpreting-Medical-Tables-as-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1189/Enhancing-Trustworthiness-in-LLM-Generated-Code-A-Reinforcement-Learning-and-Domain-Knowledge-Constrained-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1181/Global-Relevance-of-Online-Health-Information-Sources-A-Case-Study-of-Experiences-and-Perceptions-of-Nigerians"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1169/Enhancing-Knowledge-Graph-Consistency-through-Open-Large-Language-Models-A-Case-Study"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/11/Context-Aware-Computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/27/Social-media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/247/A-Different-Kind-of-Social-Physics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/301/A-framework-for-collaborative-data-gathering"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/283/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/142/A2G-Slides"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/75/An-Intelligent-Broker-for-Pervasive-Context-Aware-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/1/CoBrA"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/180/cobra"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/148/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Proposal"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/147/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Slides"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/14/International-Symposium-of-Web-Intelligence-and-Security">
  <title><![CDATA[International Symposium of Web Intelligence and Security]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/14/International-Symposium-of-Web-Intelligence-and-Security</link>
  <description><![CDATA[The 1st International Symposium on Web Intelligence and Security solicits the submission of original work in progress, innovative ideas, experimental results, and completed projects of Web intelligence and Web security. Papers that explore the state-of-the-art and future direction of intelligent Web systems in the context of security concerns are especially welcome.]]></description>
  <dc:date>2004-07-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference">
  <title><![CDATA[ACM SIGMOD/PODS 2004 Conference]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference</link>
  <description><![CDATA[The annual ACM SIGMOD conference is a leading forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. We invite the submission of original research contributions and industrial papers, as well as proposals for panels, tutorials, and demonstrations. We encourage submissions relating to all aspects of data management defined broadly, and particularly encourage work on topics of emerging interest in ...]]></description>
  <dc:date>2004-06-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text">
  <title><![CDATA[Modeling and Extracting information about Cybersecurity Events from Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text</link>
  <description><![CDATA[People rely on the Internet to carry out much of the their daily activities such as banking, ordering food and socializing with their family and friends. The technology facilitates our lives, but also comes with many problems, including cybercrimes, stolen data and identity theft. With the large and increasing number of transaction done every day, the frequency of cybercrime events is also increasing. Since the number of security-related events is too high for manual review and monitoring, we...]]></description>
  <dc:date>2017-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction">
  <title><![CDATA[Generative Adversarial Networks, An Introduction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction</link>
  <description><![CDATA[While deep learning has made historic improvements in speech recognition and object recognition in recent years, almost all of these gains have been in supervised learning of now fairly well understood discriminative models. In the larger context of machine learning, less is understood about both unsupervised and generative models, but Generative Adversarial Networks have emerged as a promising approach to making progress in that direction. 

We are going to introduce Generative Adversarial...]]></description>
  <dc:date>2017-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web">
  <title><![CDATA[Semantic knowledge and privacy in the physical web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web</link>
  <description><![CDATA[In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and person...]]></description>
  <dc:date>2016-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things">
  <title><![CDATA[From Strings to Things]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things</link>
  <description><![CDATA[The Web is the greatest source of general knowledge available today. Its current form, however, suffers from two limitations.  The first is that text and multimedia objects on the Web are easy for people to understand but difficult for machines to interpret and use.  The second is that the Web's access paradigm remains dominated by information retrieval, where keyword queries produce a ranked list of documents that must be read to find the desired information.  I'll discuss research in natura...]]></description>
  <dc:date>2016-07-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System">
  <title><![CDATA[Kelvin Information Extraction System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System</link>
  <description><![CDATA[I'll describe recent work on the Kelvin information extraction system and its performance in two tasks in the 2015 NIST Text Analysis Conference.  Kelvin has been under development at the JHU Human Language Center of Excellence for several years.  Kelvin reads documents in several languages and extracts entities and relations between them. This year it was used for the Coldstart Knowledge Base Population and Trilingual Entity Discovery and Linking tasks.  Key components in the tasks are a sys...]]></description>
  <dc:date>2015-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/481/Are-you-in-control-or-being-controlled-in-your-vehicle-">
  <title><![CDATA[Are you in control or being controlled in your vehicle?]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/481/Are-you-in-control-or-being-controlled-in-your-vehicle-</link>
  <description><![CDATA[Vehicles changed from being just mechanical devices which will just obey the commands to a smarter Sensor-ECU-Actuator systems which sense the surroundings and take necessary smart actions. A modern car has around forty to hundred different ECU’s, possibly communicating, to make intelligent decisions. But recently, there is a lot of buzz in the research community on hacking and taking control of vehicles. These literature describe and document the different ways to take control of vehicles....]]></description>
  <dc:date>2015-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text">
  <title><![CDATA[Beyond NER: Towards Semantics in Clinical Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text</link>
  <description><![CDATA[While clinical text NLP systems have become very effective in recognizing named entities in clinical text and mapping them to standardized terminologies in the normalization process, there remains a gap in the ability of extractors to combine entities together into a complete semantic representation of medical concepts that contain multiple attributes each of which has its own set of allowed named entities or values. Furthermore, additional domain knowledge may be required to determine the se...]]></description>
  <dc:date>2015-10-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs">
  <title><![CDATA[Topic Modeling for RDF Graphs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs</link>
  <description><![CDATA[Topic models are widely used to thematically describe a collection of
text documents and have become an important technique for systems that
measure document similarity for classification, clustering,
segmentation, entity linking and more.  While they have been applied
to some non-text domains, their use for semi-structured graph data,
such as RDF, has been less explored.  We present a framework for
applying topic modeling to RDF graph data and describe how it can be
used in a number o...]]></description>
  <dc:date>2015-09-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables">
  <title><![CDATA[TABEL -- A Domain Independent and Extensible Framework for Inferring the Semantics of Tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables</link>
  <description><![CDATA[ 

 Dissertation Defense

Tables are an integral part of documents, reports and Web pages in many scientific and technical domains, compactly encoding important information that can be difficult to express in text. Table-like structures outside documents, such as spreadsheets, CSV files, log files and databases, are widely used to represent and share information. However, tables remain beyond the scope of regular text processing systems which often treat them like free text.

This ...]]></description>
  <dc:date>2015-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/473/Taming-Wild-Big-Data">
  <title><![CDATA[Taming Wild Big Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/473/Taming-Wild-Big-Data</link>
  <description><![CDATA[In this week's Ebiquity meeting, Jennifer Sleeman will talk about "Taming Wild Big Data".

Wild Big Data is data that is hard to extract, understand, and use due to its heterogeneous nature and volume. It typically comes without a schema, is obtained from multiple sources and provides a challenge for information extraction and integration. We describe a way to subduing Wild Big Data that uses techniques and resources that are popular for processing natural language text. The approach is...]]></description>
  <dc:date>2014-11-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/40/Platys-From-Position-to-Place-in-Next-Generation-Networks">
  <title><![CDATA[Platys: From Position to Place in Next Generation Networks]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/40/Platys-From-Position-to-Place-in-Next-Generation-Networks</link>
  <description><![CDATA[A UMBC research team led by Anupam Joshi and Tim Finin received an award from
NSF for four-year project that will explore how advances
in mobile technology and networking can support systems that
understand and adapt their behavior to their user's context,
activities and preferences.

Platys is a collaborative research project between
UMBC and groups at North Carolina State (led by Munindar
Singh and Injong
Rhee) and Duke (led by Romit Roy Choudhury)
Universities.  The group will sh...]]></description>
  <dc:date>2009-08-31</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/getnews/html/id/33/SemNews-news-text-to-Semantic-Web">
  <title><![CDATA[SemNews: news text to Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web</link>
  <description><![CDATA[SemNews Understands the News 

 Prototype UMBC system interprets online news stories  and  publishes text meaning on the Semantic Web

      SemNews is a prototype
application being developed by UMBC Ph.D. student Akshay Java that
uses a sophisticated text understanding system to interpret summaries
of news stories, publishes the results on the semantic web and
provides browsing and query services over them.  The project is the
result of a collaboration between the UMBC's Institute ...]]></description>
  <dc:date>2006-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere">
  <title><![CDATA[Welcome to the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere</link>
  <description><![CDATA[Welcome to the Splogosphere!

UMBC study estimates that 75% of posts to English language weblogs are spam


Baltimore, December 16, 2005

 A weblog monitoring system developed by UMBC Ph.D. student Pranam
Kolari shows that a new form of spam -- spam blogs or splogs --
has quickly become a serious problem. 

 Splogs are "fake"
weblog sites that have been set up to carry paid advertisements,
promote affiliated web sites by increasing their PageRank, and to get
new sites noti...]]></description>
  <dc:date>2005-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006">
  <title><![CDATA[Finin co-chairs AI and the Web track at AAAI 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006</link>
  <description><![CDATA[UMBC faculty member Tim Finin is the co-chair of a Special Track on
Artificial Intelligence and the Web at the Twenty-First National
Conference on Artificial Intelligence sponsored by the American
Association for Artificial Intelligence (AAAI).  Finin joins
University of Michigan professor Dragomir Radev to organize this track
as part of AAAI's National Conference to be held in Boston July 16-20,
2006.

The special track on AI and the Web invites technical papers on the
use of AI tec...]]></description>
  <dc:date>2005-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/18/UMBC-ebiquity-group-launches-four-new-PhDs">
  <title><![CDATA[UMBC ebiquity group launches four new PhDs]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/18/UMBC-ebiquity-group-launches-four-new-PhDs</link>
  <description><![CDATA[Four ebiquity laboratory researchers were awarded PhD
degrees in UMBC's 2004 Winter Commencement: Drs Lalana
Kagal, Harry (Lik) Chen, Xiaochen Luan and Dipanjan
Chakraborty.

 Harry (Lik) Chen's
dissertation,  An
Intelligent Broker Architecture for Pervasive Context-Aware
Systems , advanced understanding of how we can build
Wireless computing environments that offer intelligent
services while protecting privacy.  Dr. Chen has joined Image Matters LLC, a
Leesburg VA company speciali...]]></description>
  <dc:date>2004-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/17/Harry-Chen-defends-dissertation">
  <title><![CDATA[Harry Chen defends dissertation]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/17/Harry-Chen-defends-dissertation</link>
  <description><![CDATA[Harry (Lik) Chen successfully defended his dissertation on  An Intelligent Broker Architecture for Pervasive Context-Aware Systems .  Dr. Chen has joined Image Matters LLC, a Leesburg VA company specializing in Semantic Web, Internet, geospatial, wireless and sensor technologies.]]></description>
  <dc:date>2004-12-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/4/Agents2Go">
  <title><![CDATA[Agents2Go]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/4/Agents2Go</link>
  <description><![CDATA[With the proliferation of mobile computing, more and more people use a variety of mobile devices in their dally lives. Recent years have also seen a remarkable growth in Electronic Commerce. The merger of these concepts has resulted in the emergence of Mobile Electronic Commerce (M-Commerce). 

One of the most critical requirements for M-Commerce is the ability to discover services in a given context. An important component of a user's context is their current location. For example, a user'...]]></description>
  <dc:date>2005-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics">
  <title><![CDATA[ALDA: Automated Legal Document Analytics]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics</link>
  <description><![CDATA[There has been an exponential growth in use of digitized legal documents in recent years. Majority of services on the Internet have associated legal documents such as Terms of Services, Privacy Policies and Service Level agreements. A large corpus of court cases, judgments and compliance/regulations are now digitally available for e-discovery. Moreover, businesses are maintaining large data sets of legal contracts that they have signed with their employees, customers and contractors. Furtherm...]]></description>
  <dc:date>2014-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/70/CoCoNet-Content-and-Context-Aware-Networking">
  <title><![CDATA[CoCoNet: Content and Context Aware Networking]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/70/CoCoNet-Content-and-Context-Aware-Networking</link>
  <description><![CDATA[The current Internet was originally designed to provide best-effort data
transport over a wired infrastructure with end hosts utilizing a layered
network stack to provide reliability, quality of service, security etc.
for user applications.  However, the proliferation of inelastic
applications, coupled with wide spread migration towards hybrid networks
utilizing wired and wireless links and the plethora of end host variants
ranging from cell phones to enterprise servers necessitates the...]]></description>
  <dc:date>2005-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/1/Context-Broker-Architecture-CoBrA-">
  <title><![CDATA[Context Broker Architecture (CoBrA)]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/1/Context-Broker-Architecture-CoBrA-</link>
  <description><![CDATA[Context Broker Architecture (CoBrA) is an agent based architecture for supporting context-aware systems in smart spaces (e.g., intelligent meeting rooms, smart homes, and smart vehicles). Central to this architecture is an intelligent agent called  context broker that maintains a shared model of context on the behalf of a community of agents, services, and devices in the space and provides privacy protections for the users in the space by enforcing the policy rules that they define.]]></description>
  <dc:date>2002-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/79/Context-Aware-Surgical-Training">
  <title><![CDATA[Context-Aware Surgical Training]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/79/Context-Aware-Surgical-Training</link>
  <description><![CDATA[We propose to design and implement a prototype context aware surgical training environment (CAST) as part of the University of Maryland Surgical Simulation Training Center (SIMCenter).  This system will be used to explore the role that an intelligent pervasive computing environment can play to enhance the training of surgery students, residents and specialists.  The research will build on prior work on context aware “smart spaces” done at UMBC, leverage our experience in working with RFID...]]></description>
  <dc:date>2006-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/39/Intelligent-Personal-Agent">
  <title><![CDATA[Intelligent Personal Agent]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/39/Intelligent-Personal-Agent</link>
  <description><![CDATA[Objective. The objective is to develop a personal agent that can provide and maintain the contextual information about a user. Acting as a record-keeper, this agent tracks a user's context by acquiring information from external sources (e.g., the context brokers in different smart spaces). Acting as an information provider, this agent shares the updated context information about a user with systems that attempt to provide services to the user. 

We assume the users are willing to share ce...]]></description>
  <dc:date>2003-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance">
  <title><![CDATA[Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number of AI-driven Medical devices to help monitor and medicate patients. For patients with chronic ailments, like diabetes or gastric diseases, usage of these devices becomes part of their daily lifestyle. These medical devices often capture personally identifiable information (PII) and hence are strictly regulated by the Food and Drug Administration (FDA) to ensure the safety and efficacy of the medical device. Medical device regulations are curre...]]></description>
  <dc:date>2023-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments">
  <title><![CDATA[MoGATU: Data Management in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The past few years have seen significant work in mobile data management, typically based on the client/proxy/server model. Mobile/wireless devices are treated as clients that are data consumers only, while data sources are on servers that typically reside on the wired network. With the advent of pervasive computing environments, an alternative scenario arises where mobile devices gather and exchange data from not just wired sources, but also from their ethereal environment and one another. Th...]]></description>
  <dc:date>2001-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/24/MOWSER-Wireless-Web-Access">
  <title><![CDATA[MOWSER: Wireless Web Access]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/24/MOWSER-Wireless-Web-Access</link>
  <description><![CDATA[The software and protocols associated with information browsing systems are
largely designed with static hosts and wired networks in mind, HTTP
and the Web are a case in point. Static hosts are connected to wired, high
bandwidth networks, and are capable of transmitting and receiving large
amounts of data without significant delays. As such, the size and format of
the data files being received by the browser/client has never been a
concern. However, this causes problems when informati...]]></description>
  <dc:date>1999-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/101/MTLD-Interpreting-Medical-Tables-as-Linked-Data">
  <title><![CDATA[MTLD: Interpreting Medical Tables as Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/101/MTLD-Interpreting-Medical-Tables-as-Linked-Data</link>
  <description><![CDATA[Evidence-based medicine is the application of current medical evidence
to patient care and typically uses quantitative data from research
studies.  It is increasingly driven by data on the efficacy of drug
dosages and the correlation between various medical factors that is
assembled and integrated through meta--analyses (i.e., systematic
reviews) of data in tables from publications and clinical trial
studies.  We describe a a key component of a system to produce
evidence reports that p...]]></description>
  <dc:date>2014-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange">
  <title><![CDATA[TRUCE: TRUsted Compliance Enforcement Service for Secure Health Data Exchange]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange</link>
  <description><![CDATA[Organizations are increasingly sharing large volumes of sensitive Personally Identifiable Information (PII), like health records, with each other to better manage their services. Protecting PII data has become increasingly important in today's digital age, and several regulations have been formulated to ensure the secure exchange and management of sensitive personal data. However, at times some of these regulations are at loggerheads with each other, like the Health Insurance Portability and ...]]></description>
  <dc:date>2025-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance">
  <title><![CDATA[Integrating Knowledge Graphs with Retrieval-Augmented Generation to Automate IoT Device Security Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance</link>
  <description><![CDATA[As IoT device adoption grows, ensuring cybersecurity compliance with IoT standards, like National Institute of Standards and Technology Interagency (NISTIR) 8259A, has become increasingly complex. These standards are typically presented in lengthy, text-based formats that are difficult to process and query automatically. We built a knowledge graph to address this challenge to represent the key concepts, relationships, and references within NISTIR 8259A. We further integrate this knowledge gra...]]></description>
  <dc:date>2025-07-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach">
  <title><![CDATA[Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach</link>
  <description><![CDATA[Winner of Best Student Paper Award 
The dramatic surge of health misinformation on social media platforms poses a significant threat to public health, contributing to hesitancy in vaccines, delayed medical interventions, and the adoption of untested or harmful treatments. We present a novel, hybrid AI-driven framework designed for the real-time detection of health misinformation on social media platforms while prioritizing user privacy. The framework integrates the strengths of Large Langua...]]></description>
  <dc:date>2025-07-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1189/Enhancing-Trustworthiness-in-LLM-Generated-Code-A-Reinforcement-Learning-and-Domain-Knowledge-Constrained-Approach">
  <title><![CDATA[Enhancing Trustworthiness in LLM Generated Code: A Reinforcement Learning and Domain-Knowledge Constrained Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1189/Enhancing-Trustworthiness-in-LLM-Generated-Code-A-Reinforcement-Learning-and-Domain-Knowledge-Constrained-Approach</link>
  <description><![CDATA[Imagine analyzing a piece of code that uses the function ConnectToServer() with an encrypted string as its argument. A large language model (LLM), trained on extensive programming data, might flag the use of encryption as suspicious and generate an explanation suggesting that the function likely connects to a malicious server. While this explanation might seem plausible, it can often be unfaithful—it overgeneralizes from statistical patterns in its training data without truly understanding ...]]></description>
  <dc:date>2025-02-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number
of AI-driven Medical devices to help monitor and medicate
patients. For patients with chronic ailments, like diabetes or
gastric diseases, usage of these devices becomes part of their
daily lifestyle. These medical devices often capture personally
identifiable information (PII) and hence are strictly regulated by
the Food and Drug Administration (FDA) to ensure the safety
and efficacy of the medical device. Medical device regulations
a...]]></description>
  <dc:date>2024-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1181/Global-Relevance-of-Online-Health-Information-Sources-A-Case-Study-of-Experiences-and-Perceptions-of-Nigerians">
  <title><![CDATA[Global Relevance of Online Health Information Sources: A Case Study of  Experiences and Perceptions of Nigerians]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1181/Global-Relevance-of-Online-Health-Information-Sources-A-Case-Study-of-Experiences-and-Perceptions-of-Nigerians</link>
  <description><![CDATA[Online health information sources (OHIS) offer potential for improving access to health information especially in areas with limited healthcare infrastructure. However, OHIS predominantly originates from Western societies potentially ignoring the specific needs and cultural contexts of diverse populations. There is limited research on the global suitability of OHIS content. This study explores the global relevance of OHIS for diverse populations through a case study examining user experiences...]]></description>
  <dc:date>2024-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices">
  <title><![CDATA[Semantically Rich Approach to Automating Regulations of Medical Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices</link>
  <description><![CDATA[Advanced medical devices increasingly use sophisticated AI/ML models to enable real-time analytics for monitoring patients. In the US, these AI models, which often form the underlying device software, are regulated by the Center for Devices & Radiological Health (CDRH) at the Food & Drug Administration (FDA) to ensure the safety & efficacy of the medical device. These regulations for medical devices are currently available as large textual documents, called Code of Federal Regulations (CFR) T...]]></description>
  <dc:date>2024-07-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records">
  <title><![CDATA[Leveraging semantic context to establish access controls for secure cloud-based electronic health records]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records</link>
  <description><![CDATA[With the continuous growth of cloud-based Electronic Health Record (EHR) systems and medical data, medical organizations are particularly concerned about storing patient data to provide fast services while adhering to privacy and security concerns. Existing EHR systems often face challenges in handling heterogeneous data and maintaining good performance with data growth. These systems mostly use relational databases or partially store data in a knowledge graph, making it challenging to handle...]]></description>
  <dc:date>2024-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems">
  <title><![CDATA[Comparison of attribute‑based encryption schemes in securing healthcare systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems</link>
  <description><![CDATA[E-health has become a top priority for healthcare organizations focused on advancing healthcare
services. Thus, medical organizations have been widely adopting cloud services, resulting in the
effective storage of sensitive data. To prevent privacy and security issues associated with the data,
attribute-based encryption (ABE) has been a popular choice for encrypting private data. Likewise,
the attribute-based access control (ABAC) technique has been widely adopted for controlling data
ac...]]></description>
  <dc:date>2024-03-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1169/Enhancing-Knowledge-Graph-Consistency-through-Open-Large-Language-Models-A-Case-Study">
  <title><![CDATA[Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1169/Enhancing-Knowledge-Graph-Consistency-through-Open-Large-Language-Models-A-Case-Study</link>
  <description><![CDATA[High-quality knowledge graphs (KGs) play a crucial role in many applications. However, KGs created by automated information extraction systems can suffer from erroneous extractions or be inconsistent with provenance/source text. It is important to identify and correct such problems. In this paper, we study how to leverage the emergent reasoning capabilities of large language models (LLMs) to detect inconsistencies between extracted facts and their provenance. With a focus on “open” LLMs t...]]></description>
  <dc:date>2024-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/11/Context-Aware-Computing">
  <title><![CDATA[Context-Aware Computing]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/11/Context-Aware-Computing</link>
  <description><![CDATA[Context-aware systems are computing systems that exploit the use of situational conditions (or context) to provide relevant services and information to the users. The notion of context-awareness is an important aspect of the future pervasive computing systems.]]></description>
  <dc:date>2026-10-08</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>2026-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/247/A-Different-Kind-of-Social-Physics">
  <title><![CDATA[A Different Kind of Social Physics]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/247/A-Different-Kind-of-Social-Physics</link>
  <description><![CDATA[Everyday, tens of millions of people chat, text, email, poke, twitter, IM and facebook (and, yes, that is a verb). They do what people have always done: they make friends and mark enemies, they assert and seek status, they look for affirmation and for connection, they check out the competition and, above all, they seek the comfort of community. Contrary to earlier predictions, people do not undertake revolutionary, unheard of acts just because the medium is new. In fact, the rise of social co...]]></description>
  <dc:date>2008-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/301/A-framework-for-collaborative-data-gathering">
  <title><![CDATA[A framework for collaborative data gathering]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/301/A-framework-for-collaborative-data-gathering</link>
  <description><![CDATA[The popularity of Internet-enabled mobile technology allows people to participate in many data gathering tasks such as making scientific observation, responding to regional polls, and collecting location-specific information such as parking availability and road conditions.  We describe initial work on a prototype and framework to support applications requiring collaborative data gathering and an awareness of a mobile device user's context. The framework uses Semantic Web languages to represe...]]></description>
  <dc:date>2010-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/283/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies">
  <title><![CDATA[A Schema-Based Approach Combined with Inter-Ontology Reasoning to Construct Consensus Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/283/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies</link>
  <description><![CDATA[As the Semantic Web gains attention as the next generation of the Web, the issue of reconciling different views of independently developed and exposed data sources becomes increasingly important. Ontology integration serves as a basis for solving this problem. In this paper, we describe an approach to construct a consensus ontology from numerous, independently designed ontologies.

Our method has the following features: i) the matching is carried out at the schema level; ii) the alignment o...]]></description>
  <dc:date>2009-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/142/A2G-Slides">
  <title><![CDATA[A2G Slides]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/142/A2G-Slides</link>
  <description><![CDATA[Agents2Go Slides

With the proliferation of mobile computing, more and more people use a variety of mobile devices in their dally lives. Recent years have also seen a remarkable growth in Electronic Commerce. The merger of these concepts has resulted in the emergence of Mobile Electronic Commerce (M-Commerce).
One of the most critical requirements for M-Commerce is the ability to discover services in a given context. An important component of a user's context is their current location. For...]]></description>
  <dc:date>2005-10-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/75/An-Intelligent-Broker-for-Pervasive-Context-Aware-Systems">
  <title><![CDATA[An Intelligent Broker for Pervasive Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/75/An-Intelligent-Broker-for-Pervasive-Context-Aware-Systems</link>
  <description><![CDATA[Presentation slides used in Harry Chen's PhD dissertation defense.

Context-aware systems exploit the use of situational information, or context, to provide relevant information and services to users. A great challenge remains in defining an architecture that supports context-aware systems. Critical research issues include modeling and reasoning (how to represent contextual information for machine processing and reasoning), knowledge sharing (how to enable agents to acquire consistent knowl...]]></description>
  <dc:date>2004-12-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text">
  <title><![CDATA[Coarse and Fine Grained Sentiment Analysis of Online Text]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text</link>
  <description><![CDATA[Sentiment analysis - the automated extraction of expressions of positive and negative attitudes from text - has received a great amount of attention over the last ten years. Over the same period, via the widespread growth in the use of what we have come to call social media, there has been an explosion in the amount of publically available user generated text on the Web. This text has the potential of providing a source of real time, time tagged sentiments from people all over the globe.

T...]]></description>
  <dc:date>2010-05-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/1/CoBrA">
  <title><![CDATA[CoBrA]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/1/CoBrA</link>
  <description><![CDATA[The Context Broker Architecture Web Site]]></description>
  <dc:date>2003-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/180/cobra">
  <title><![CDATA[cobra]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/180/cobra</link>
  <description><![CDATA[To support context reasoning and knowledge sharing, CoBrA provides a set of ontologies called COBRA-ONT. Expressed in the Web Ontology Language OWL, COBRA-ONT defines typical concepts that describe an intelligent meeting room environment.]]></description>
  <dc:date>2006-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/148/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Proposal">
  <title><![CDATA[CoCoNet: Content and Context Aware Networking - Prelim Proposal]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/148/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Proposal</link>
  <description><![CDATA[Prelim Proposal Writeup]]></description>
  <dc:date>2005-09-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/147/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Slides">
  <title><![CDATA[CoCoNet: Content and Context Aware Networking - Prelim Slides]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/147/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Slides</link>
  <description><![CDATA[PhD Prelim Proposal Presentation]]></description>
  <dc:date>2005-09-29</dc:date>
 </item>
</rdf:RDF>
