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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web"/>
      <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/71/ArRf-Activity-Recognition-with-RF"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/65/Cross-language-Information-Retrieval"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/61/DAML"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks"/>
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      <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/1187/Evaluating-Causal-AI-Techniques-for-Health-Misinformation-Detection"/>
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 <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/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/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[PhD defense: Lushan Han, Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Schema Free Querying of Semantic Data

Lushan Han

Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. We refer to them as as schema-free query interfaces, since they allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language. Schema-free query interfaces address fundamental problems in natural la...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration">
  <title><![CDATA[Phd proposal: A Semantic Resolution Framework for Manufacturing Capability Data Integration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration</link>
  <description><![CDATA[Building flexible manufacturing supply chains requires interoperable and accurate manufacturing service capability (MSC) information of all supply chain participants. Today, MSC information, which is typically published either on the supplier’s web site or registered at an e-marketplace portal, has been shown to fall short of the interoperability and accuracy requirements. This issue can be addressed by annotating the MSC information using shared ontologies. However, ontology-based approach...]]></description>
  <dc:date>2013-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide...]]></description>
  <dc:date>2013-04-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text">
  <title><![CDATA[Information Extraction of Security related entities and concepts from unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text</link>
  <description><![CDATA[Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on inter...]]></description>
  <dc:date>2013-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/443/Virtual-Collaboration-and-Training-in-Medicine-through-Multimedia-e-Learning-system">
  <title><![CDATA[Virtual Collaboration and Training in Medicine through Multimedia e-Learning system]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/443/Virtual-Collaboration-and-Training-in-Medicine-through-Multimedia-e-Learning-system</link>
  <description><![CDATA[Virtual Collaboration and Training in Medicine through Multimedia e-Learning system

Web-based virtual collaboration is increasingly gaining popularity in almost every area in our society due to the fact that it can bridge the gap imposed by time and geographical constraints. However, in the medical field, such collaboration has been less popular. Some of the reasons were timeliness, security, and preciseness of the information they are dealing with. We propose a web-based distributed medic...]]></description>
  <dc:date>2013-02-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/419/Classification-of-patients-using-novel-multivariate-time-series-representations-of-physiological-data">
  <title><![CDATA[Classification of patients using novel multivariate time series representations of physiological data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/419/Classification-of-patients-using-novel-multivariate-time-series-representations-of-physiological-data</link>
  <description><![CDATA[I will present two novel multivariate time series representations to classify physiological data of different lengths.The representations may be applied to any group of multivariate time series data that examine the state or health of an entity. Multivariate Bag-of-Patterns and Stacked Bags-of-Patterns improve on their univariate counterpart, inspired by the bag-of-words model, by using multiple time series and analyzing the data in a multivariate fashion. My collaborators and I also borrow t...]]></description>
  <dc:date>2011-11-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere">
  <title><![CDATA[UMBC researchers investigate the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere</link>
  <description><![CDATA[Research on detecting "splogs" by Professors Tim Finin, Anupam Joshi and Tim Oates and PhD students Pranam Kolari and Akshay Java of the Computer Science and Electrical Engineering Department was mentioned in an article in the September issue of Wired Magazine.  Splogs are spam weblogs that are automatically generated to host advertisements or to raise the rank or affiliated web sites.  The UMBC group recently published a study showing that more than half of the active English language blogs ...]]></description>
  <dc:date>2006-09-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/35/Swoogle-2006-released">
  <title><![CDATA[Swoogle 2006 released]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/35/Swoogle-2006-released</link>
  <description><![CDATA[Swoogle 2006 is a a major
new version of Swoogle, a search engine for the Semantic Web.
Swoogle helps knowledge engineers and software agents find
knowledge on the web encoded in the semantic web languages RDF
and OWL.  It crawls the Web looking for documents that consists
of RDF or have embedded RDF within them.  USing Swoogle, people
and agents can discover Semantic Web ontologies, terms and data.

 Swoogle 2005 is a nearly complete rewrite of Swoogle Classic, which
now answers to ...]]></description>
  <dc:date>2006-02-01</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/32/Zhongli-Ding-defends-dissertation">
  <title><![CDATA[Zhongli Ding defends dissertation]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/32/Zhongli-Ding-defends-dissertation</link>
  <description><![CDATA[Zhongli Ding successfully defended her Ph.D. dissertation
entitled "BayesOWL: A Probabilistic Framework for Uncertainty in
Semantic Web" on December 5, 2005.  Dr. Ding came to UMBC in the Fall
of 1999 after receiving her undergraduate degree from the University
of Science and Technology of China in Hefei.  She joined the ebquity
lab in 2000 and has worked closely with Professor Yun Peng, who was
her mentor and dissertation supervisor.  She received a Masters degree in
Computer Scie...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/24/Finin-to-serve-as-editor-in-chief-of-Journal-of-Web-Semantics">
  <title><![CDATA[Finin to serve as editor-in-chief of  Journal of Web Semantics]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/24/Finin-to-serve-as-editor-in-chief-of-Journal-of-Web-Semantics</link>
  <description><![CDATA[UMBC faculty member Tim Finin has accepted a post as an
editor-in-chief of the 
Journal of Web Semantics, joining co-editors-in-chief Carol Gobel
and Rudi Struder.

 The Journal of Web Semantics is an interdisciplinary journal based
on research and applications of various subject areas that contribute
to the development of a knowledge-intensive and intelligent service
Web. These areas include: knowledge technologies, ontology, agents,
databases and the semantic grid, obviously di...]]></description>
  <dc:date>2005-09-01</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/34/SweetRules-v2-1-released">
  <title><![CDATA[SweetRules v2.1 released]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/34/SweetRules-v2-1-released</link>
  <description><![CDATA[First Platform for Semantic Web Rules Now Includes Web Services 
Support and More:  SweetRules V2.1 Released Open Source
 

Contacts: Chitro Neogy (chitro@mit.edu) and Benjamin Grosof (bgrosof@mit.edu)
 
CAMBRIDGE, MA, USA, April 25:  
 
SweetRules, a uniquely powerful integrated set of tools for semantic
web rules and ontologies, is newly enhanced in V2.1 with several
first-of-a-kind capabilities, including support for rule-triggered
WSDL Web Services, RuleML presentation syntax f...]]></description>
  <dc:date>2005-04-25</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/27/Finin-gives-invited-talk-at-AAAI-2004">
  <title><![CDATA[Finin gives invited talk at AAAI 2004]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/27/Finin-gives-invited-talk-at-AAAI-2004</link>
  <description><![CDATA[Tim Finin will give an
invited talk on Intelligent Agents
meet the Semantic Web in the Aether at the Nineteenth National
Conference on Artificial Intelligence (AAAI-04) sponsored by the
American Association for Artificial Intelligence.  The AAAI-04
Conference was held in San Jose, California, at the San Jose
Convention Center, from 25-29 July, 2004.

 Finin's talk will focus on new uses of intelligent software agents
and multiagent systems.   "The software agents paradigm
has receiv...]]></description>
  <dc:date>2004-08-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web">
  <title><![CDATA[A Personal Agent Application for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision to simplify and improve knowledge
   reuse on the Web. It is all set to alter the way humans benefit
   from the web from active interaction to somewhat passive
   utilization through the proliferation of software agents and in
   particular personal assistants that can better function and thrive
   on the Semantic Web than the conventional web. Agents can parse,
   understand and reason about information available on Semantic Web
   pages in an attempt...]]></description>
  <dc:date>2001-09-01</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/71/ArRf-Activity-Recognition-with-RF">
  <title><![CDATA[ArRf - Activity Recognition with RF]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF</link>
  <description><![CDATA[As the population ages tools for aiding in the care of elderly become increasingly valuable.  There is a need for a suite of tools that monitor senior citizens, help them through their day, and alert others if they need help.  Several good techniques for creating systems that assist senior citizens have emerged.  What all such computer systems lack is a good way to determine what a person is actually doing.  Entering every task that a person does into a computer is time consuming and not prac...]]></description>
  <dc:date>2005-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/65/Cross-language-Information-Retrieval">
  <title><![CDATA[Cross language Information Retrieval]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/65/Cross-language-Information-Retrieval</link>
  <dc:date>2004-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/61/DAML">
  <title><![CDATA[DAML]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/61/DAML</link>
  <description><![CDATA[Our research program goal is to design and prototype critical software components enabling developers to create intelligent software agents capable of understanding and processing information and knowledge encoded in DAML and other semantically rich markup languages. . This program will be the joint work of a team of two established research groups and a new research group-- the UMBC agents group headed by Tim Finin, the JHU/APL intelligent systems group headed by Jim Mayfield, and a new busi...]]></description>
  <dc:date>2000-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks">
  <title><![CDATA[DAML / ITTalks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks</link>
  <description><![CDATA[DAML Tools for supporting Intelligent Information Annotation, Sharing and RetrievalWith the vast quantity of information now available on the Internet, there is a need to manage this information by marking it with a semantic language, such as DARPA Agent Markup Language (DAML), and using intelligent search engines and other tools, in conjunction with ontology-based matching, to provide better search results and data manipulation capabilities. The aim of the semantic web is to make the current...]]></description>
  <dc:date>2000-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations">
  <title><![CDATA[Graph of Relations]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations</link>
  <description><![CDATA[ 
Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest.  Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical ``skeleton'' for a query and anno...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/50/IDE-for-Rei-Policy-Language">
  <title><![CDATA[IDE for Rei Policy Language]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/50/IDE-for-Rei-Policy-Language</link>
  <description><![CDATA[Security policies define rules for access control, authentication, or authorization of entities in a system. With the increase in interest in web based e-commerce, the amount of business that is transacted on-line and the explosion in the amount of services available, the ability to
handle security and privacy is a must. Also, as computationally enabled devices (laptops, phones, PDAs, and even household appliances) become more commonplace and short range wireless connectivity improves; there...]]></description>
  <dc:date>2003-05-01</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/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models">
  <title><![CDATA[Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models</link>
  <description><![CDATA[Regulatory compliance is mandatory for Internet of Things (IoT) manufacturers, particularly under stringent frameworks such as the General Data Protection Regulation (GDPR), which governs the handling of personal data. We introduce a novel framework for automating IoT compliance verification by integrating a Large Language Model (LLM) with a domain-specific Knowledge Graph (KG). The framework achieves two primary objectives: 1) leveraging the LLM to interpret natural-language compliance queri...]]></description>
  <dc:date>2025-07-25</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/1187/Evaluating-Causal-AI-Techniques-for-Health-Misinformation-Detection">
  <title><![CDATA[Evaluating Causal AI Techniques for Health  Misinformation Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1187/Evaluating-Causal-AI-Techniques-for-Health-Misinformation-Detection</link>
  <description><![CDATA[Abstract—The proliferation of health misinformation on social media, particularly regarding chronic conditions such as diabetes, hypertension, and obesity, poses significant public health risks. This study evaluates the feasibility of leveraging Natural Language Processing (NLP) techniques for real-time misinformation detection and classification, focusing on Reddit discussions. Using logistic regression as a baseline model, supplemented by Latent Dirichlet Allocation (LDA) for topic modeli...]]></description>
  <dc:date>2025-03-17</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 based on statistical patterns from its training data without truly understa...]]></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/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 leveraging the emergent reasoning capabilities of large language models (LLMs) to detect inconsistencies between extracted facts and their provenance. With a focus on “open” LLMs that c...]]></description>
  <dc:date>2024-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1148/SAGEViz-SchemA-GEneration-and-Visualization">
  <title><![CDATA[SAGEViz: SchemA GEneration and Visualization]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1148/SAGEViz-SchemA-GEneration-and-Visualization</link>
  <description><![CDATA[Schema induction involves creating a graph representation depicting how events unfold in a scenario. We present SAGEViz, an intuitive and modular tool that utilizes human-AI collaboration to create and update complex schema graphs efficiently, where multiple annotators (humans and models) can work simultaneously on a schema graph from any domain. The tool consists of two components: (1) a curation component powered by plug-and-play event language models to create and expand event sequences wh...]]></description>
  <dc:date>2023-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1177/FABULA-Intelligence-Report-Generation-Using-Retrieval-Augmented-Narrative-Construction">
  <title><![CDATA[FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1177/FABULA-Intelligence-Report-Generation-Using-Retrieval-Augmented-Narrative-Construction</link>
  <description><![CDATA[Narrative construction is the process of representing disparate event information into a logical plot structure that models an end-to-end story. Intelligence analysis is an example of a domain that can benefit tremendously from narrative construction techniques, particularly in aiding analysts during the largely manual and costly process of synthesizing event information into comprehensive intelligence reports. Manual intelligence report generation is often prone to challenges such as integra...]]></description>
  <dc:date>2023-11-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1149/PASTA-A-Dataset-for-Modeling-PArticipant-STAtes-in-Narratives">
  <title><![CDATA[PASTA: A Dataset for Modeling PArticipant STAtes in Narratives]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1149/PASTA-A-Dataset-for-Modeling-PArticipant-STAtes-in-Narratives</link>
  <description><![CDATA[The events in a narrative are understood as a coherent whole via the underlying states of their participants. Often, these participant states are not explicitly mentioned, instead left to be inferred by the reader. A model that understands narratives should likewise infer these implicit states, and even reason about the impact of changes to these states on the narrative. To facilitate this goal, we introduce a new crowdsourced English-language, Participant States dataset, PASTA. This dataset ...]]></description>
  <dc:date>2023-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/20/Language-technology">
  <title><![CDATA[Language technology]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/20/Language-technology</link>
  <description><![CDATA[Information retrieval and natural language processing]]></description>
  <dc:date>2026-03-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/17/Web-services">
  <title><![CDATA[Web services]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/17/Web-services</link>
  <description><![CDATA[The World Wide Web is more and more used for application to application communication. The programmatic interfaces made available are referred to as Web services.  Research in web services  ranges from making use of practical technology like SOAP and XML to advanced techniques  such coordination languages, workslow and the semantic web]]></description>
  <dc:date>2026-03-12</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/44/A-Policy-Specification-Language-for-Governing-Open-Dynamic-Distributed-Environments">
  <title><![CDATA[A Policy Specification Language for Governing Open, Dynamic Distributed Environments]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/44/A-Policy-Specification-Language-for-Governing-Open-Dynamic-Distributed-Environments</link>
  <description><![CDATA[Talk given at W3C]]></description>
  <dc:date>2004-08-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/42/AAAI-2004-talk-Finin-">
  <title><![CDATA[AAAI 2004 talk (Finin)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/42/AAAI-2004-talk-Finin-</link>
  <description><![CDATA[The software agents paradigm has received considerable research but has not yet found broad application. The vision is still sound and will be re-invigorated by two new developments: semantic web languages, which provide stronger knowledge sharing technology, and the emergence of pervasive computing environments, whose requirements match the strengths of multiagent systems.]]></description>
  <dc:date>2004-07-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/128/AAAI-word-search-puzzle">
  <title><![CDATA[AAAI word search puzzle]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/128/AAAI-word-search-puzzle</link>
  <description><![CDATA[This is a special edition puzzle to commemorate the AAAI-05 conference. The terms  in this AI themed word search puzzle were interlinked using a heuristic best-first search that favors shared letters, small diagrams and a uniform distribution of word directions. The empty cells were filled using a character 4-gram language model derived from the entries themselves.  The result is a word search puzzle that is compact and challenging.  Blog entry here.]]></description>
  <dc:date>2005-07-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/389/After-75-Years-of-AI-Can-Machines-Think-">
  <title><![CDATA[After 75 Years of AI, Can Machines Think?]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/389/After-75-Years-of-AI-Can-Machines-Think-</link>
  <description><![CDATA[Mathematician Alan Turing proposed a simple test to answer the question 'Can machines think?' nearly 75 years ago. Today, the surprising abilities of generative AI systems like ChatGPT make many wonder if we can finally respond positively. Dr. Finin will briefly cover AI's history leading up to the recent development of systems using neural networks and large language models like ChatGPT and what to expect in the next few years. He'll touch on what current systems can and cannot do, the ways ...]]></description>
  <dc:date>2024-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/394/After-75-years-of-AI-Can-Machines-Think-">
  <title><![CDATA[After 75 years of AI, Can Machines Think?]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/394/After-75-years-of-AI-Can-Machines-Think-</link>
  <description><![CDATA[Mathematician Alan Turing proposed a simple test to answer the question 'Can machines think?' nearly 75 years ago. Today, the surprising abilities of the latest generative AI systems make many wonder if we can finally respond positively. The talk briefly covers AI's history leading up to the recent development of systems using neural networks and large language models like ChatGPT and what to expect in the next few years.

A presentation given at the Charlestown Retirement Community on Apri...]]></description>
  <dc:date>2025-04-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/395/After-75-Years-of-AI-Can-Machines-Think-">
  <title><![CDATA[After 75 Years of AI, Can Machines Think?]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/395/After-75-Years-of-AI-Can-Machines-Think-</link>
  <description><![CDATA[Mathematician Alan Turing proposed a simple test to answer the question 'Can machines think?' nearly 75 years ago. Today, the surprising abilities of the latest generative AI systems make many wonder if we can finally respond positively. The talk briefly covers AI's history leading up to the recent development of systems using neural networks and large language models like ChatGPT and what to expect in the next few years.

A presentation given at the Charlestown Retirement Community on Apri...]]></description>
 </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/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web (pdf)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
</rdf:RDF>
