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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=context">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=context]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for context]]></description>
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      <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/1/UbiComp-2003"/>
      <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/481/Are-you-in-control-or-being-controlled-in-your-vehicle-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/473/Taming-Wild-Big-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/471/Semantics-for-Privacy-and-Context"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/456/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/457/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones"/>
      <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/422/Masters-Thesis-Research-Update-Amey-and-Nikhil"/>
      <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/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/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/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/92/Platys-From-Position-to-Place-in-Next-Generation-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/40/Presence-Monitoring-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/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/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/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/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1052/Targeted-Knowledge-Infusion-To-Make-Conversational-AI-Explainable-and-Safe"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/11/Context-Aware-Computing"/>
      <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/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:li resource="http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies"/>
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 <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/1/UbiComp-2003">
  <title><![CDATA[UbiComp 2003]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/1/UbiComp-2003</link>
  <dc:date>2003-10-12</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/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/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue">
  <title><![CDATA[Is your personal data at risk? App analytics to the rescue]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue</link>
  <description><![CDATA[According to Virustotal, a prominent virus and malware tool, the Google Play Store has a few thousand apps from major malware families. Given such a revelation, access control systems for mobile data management, have reached a state of critical importance. We propose the development of a system which would help us detect the pathways using which user's data is being stolen from their mobile devices. We use a multi layered approach which includes app meta data analysis, understanding code patt...]]></description>
  <dc:date>2015-09-28</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/event/html/id/471/Semantics-for-Privacy-and-Context">
  <title><![CDATA[Semantics for Privacy and Context]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/471/Semantics-for-Privacy-and-Context</link>
  <description><![CDATA[Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represent...]]></description>
  <dc:date>2014-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/456/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones">
  <title><![CDATA[Energy efficient semantic context model for managing privacy on smartphones]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/456/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>2013-04-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/457/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones">
  <title><![CDATA[Energy efficient semantic context model for managing privacy on smartphones]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/457/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>2013-04-22</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/422/Masters-Thesis-Research-Update-Amey-and-Nikhil">
  <title><![CDATA[Masters Thesis Research Update - Amey and Nikhil]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/422/Masters-Thesis-Research-Update-Amey-and-Nikhil</link>
  <description><![CDATA[In this week's lab meeting, Amey Sane and Nikhil Puranik will give an update on how their Masters thesis research is progressing. 


Amey will talk on "Exploring Hidden Markov Model for semantic activity prediction".

Smart devices like mobile phones can effectively be exploited for use, not only as a mode of contact through voice dialing but much more than that, by making use of its features like Bluetooth, Wi-Fi capability and also through its in-built sensor capability. All these can ...]]></description>
  <dc:date>2011-12-13</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/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/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/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/92/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/project/html/id/92/Platys-From-Position-to-Place-in-Next-Generation-Networks</link>
  <description><![CDATA[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 share $1.8M in research funding
from NSF's Network
Science and Engineering program.

Platys will develop a high-level notion of 'context' that
exploits the capabilities of next generation networks to enable
applications that deliver better user experiences. In particular,
it exploits mo...]]></description>
  <dc:date>2009-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/40/Presence-Monitoring-System">
  <title><![CDATA[Presence Monitoring System]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/40/Presence-Monitoring-System</link>
  <description><![CDATA[Objective. The objective is to develop a distributed system that is capable of monitoring user presence in an office environment and reporting the updated information to the registered context brokers. This monitoring system will use different sensing techniques to detect user presence, for example, detecting the network connections made by Bluetooth devices, monitoring user logins on the UNIX servers and desktop computers, reading the RFID tags attached to the devices that a user carries, an...]]></description>
  <dc:date>2003-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</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/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/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/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/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents">
  <title><![CDATA[Towards Semantic Exploration of Tables in Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents</link>
  <description><![CDATA[Structured data artifacts such as tables are widely used in scientific literature to organize and concisely communicate important statistical information. Discovering relevant information in these tables remains a significant challenge owing to their structural heterogeneity, dense and often implicit semantics, and diffuse context. This paper describes how we leverage semantic technologies to enable technical experts to search and explore tabular data embedded within scientific documents. We ...]]></description>
  <dc:date>2023-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1052/Targeted-Knowledge-Infusion-To-Make-Conversational-AI-Explainable-and-Safe">
  <title><![CDATA[Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1052/Targeted-Knowledge-Infusion-To-Make-Conversational-AI-Explainable-and-Safe</link>
  <description><![CDATA[Conversational Systems (CSys) represent practical and tangible outcomes of advances in NLP and AI. CSys see continuous improvements through unsupervised training of large language models (LLMs) on a humongous amount of generic training data. However, when these CSys are suggested for use in domains like Mental Health, they fail to match the acceptable standards of clinical care, such as the clinical process in Patient Health Questionnaire (PHQ-9). The talk will present Knowledge-infused Learn...]]></description>
  <dc:date>2023-02-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study">
  <title><![CDATA[Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study</link>
  <description><![CDATA[Background: Web-based resources and social media platforms play an increasingly important role in health-related knowledge and experience sharing. There is a growing interest in the use of these novel data sources for epidemiological surveillance of substance use behaviors and trends.

Methods: The domain and scope of the DAO were defined using competency questions from popular ontology methodology (101 ontology development). The 101 method includes determining the domain and scope of ontol...]]></description>
  <dc:date>2022-12-23</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>2026-08-14</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/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>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices">
  <title><![CDATA[Collabora've	   Data	   Gathering	   Using	    Context-­‐aware	   Mobile	   Devices]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices</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. Reaching users on their mobile devices poses challenges regarding appropriate user selection and user's state to respond to any data queries. We present a context-aware framework to support collaborative data gathering app...]]></description>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies">
  <title><![CDATA[Constraining Information Flow in Social Networks with Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies</link>
  <description><![CDATA[Online social networking systems are a phenomenon that has grown exponentially over the past few years. These systems provide platforms for people to easily share information, especially about themselves and about their interests. With the recent emergence of geolocation technologies, social networking can allow users to interact relative to location and time. Most systems began with few or no privacy controls and have gradually been adding and enhancing them to meet the demands of their user...]]></description>
  <dc:date>2009-08-10</dc:date>
 </item>
</rdf:RDF>
