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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1223/WIP-The-Impact-of-Financial-Aid-and-Academic-Pathways-on-Graduation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1187/Evaluating-Causal-AI-Techniques-for-Health-Misinformation-Detection"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1069/ProKnow-Process-knowledge-for-safety-constrained-and-explainable-question-generation-for-mental-health-diagnostic-assistance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content"/>
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 <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/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/431/Analytics-for-Detecting-Web-and-Social-Media-Abuse">
  <title><![CDATA[Analytics for Detecting Web and Social Media Abuse]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/431/Analytics-for-Detecting-Web-and-Social-Media-Abuse</link>
  <description><![CDATA[The Web and online social media provide invaluable communication services to a global Internet user base. The tremendous success of these services, however, has also created valuable opportunities for criminals and other miscreants to abuse them for their own gain. As a result, it is both an important yet challenging problem to detect, monitor, and curtail this abuse. However, the large scale and diversity of these services, combined with the tactics used by attackers, make it difficult to di...]]></description>
  <dc:date>2012-03-16</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/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik">
  <title><![CDATA[Masters Thesis Research Proposal: Amey Sane and Nikhil Puranik]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik</link>
  <description><![CDATA[In this week's lab meeting we will have Amey Sane and Nikhil Puranik talk about the research they will be pursuing for their Masters Thesis. 

Amey Sane will talk about "Context-aware Framework for modeling and prediction of User activities". His research work is part of ongoing Platys project. This project spans over the areas like mobile computing, Context-aware computing, security and privacy. My thesis work will be focused in the area of mobile-computing and Context-aware computing. In ...]]></description>
  <dc:date>2011-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/390/SAP-LAP-Policy-Paradigm-Application-for-Cyber-Security">
  <title><![CDATA[SAP-LAP Policy Paradigm – Application for Cyber Security]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/390/SAP-LAP-Policy-Paradigm-Application-for-Cyber-Security</link>
  <description><![CDATA[SAP-LAP (Situation Actor Process-Learning Action Performance) framework has been developed on the basis of Prof. John Warfield’s Interpretive Structural Modeling. It is a holistic framework that consists of a "situation" to be managed, an "actor" or a group of actors to deal with the situation and a "process" or a set of processes that respond to the situation and recreate it. The interplay and synthesis of SAP leads to Learning-Action-Performance (LAP). Key learning issues of interest abou...]]></description>
  <dc:date>2011-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics">
  <title><![CDATA[Social media analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics</link>
  <description><![CDATA[This week's ebiquity meeting will focus on social media and two research efforts that are part of our Relief Social Media project.

Mohit Kewalramani will present the topic that he is addressing in his MS research.  An important task in analyzing highly networked information sources like Twitter is to identify communities that are formed. A community can be defined as a group of nodes that have more links within the set than outside it. We plan to present a technique for detecting communiti...]]></description>
  <dc:date>2010-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach">
  <title><![CDATA[Clustering short status messages: a topic model based approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach</link>
  <description><![CDATA[Recently, there has been an exponential rise in the use of online social media systems like Twitter and Facebook. Even more usage has been observed during events related to natural disasters, political turmoil or other such crises. Tweets or status messages are short and may not carry enough contextual clues. Hence, applying traditional natural language processing algorithms on such data is challenging. Topic model is a popular method for modeling term frequency occurrences for documents in a...]]></description>
  <dc:date>2010-07-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/339/Trust-and-Reputation-in-Social-Networks">
  <title><![CDATA[Trust and Reputation in Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/339/Trust-and-Reputation-in-Social-Networks</link>
  <description><![CDATA[Trust is a statement (or prediction of reliance) about what is otherwise unknown or uncertain -- for example, because it is far away, cannot be verified, or is in the future. Trust is pervasive and beneficial in complex social systems. It can be built from direct interactions between the source party (truster) and the target (trustee). However, in large open systems, it is infeasible for each party to have a direct basis for trusting another party. Therefore, the participants in an open syste...]]></description>
  <dc:date>2010-03-30</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/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/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/23/UMBC-and-IBM-collaborate-on-autonomic-computing">
  <title><![CDATA[UMBC and IBM collaborate on autonomic computing]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing</link>
  <description><![CDATA[University of Maryland, Baltimore County and IBM Collaborate on 
Autonomic Computing Research

BALTIMORE, February 24, 2005 - IBM today announced a new Shared University Research (SUR) grant awarded a group of faculty researchers of the eBiquity research group at the University of Maryland, Baltimore County to help build a major new center for high performance computational research. 

This SUR grant is part of the latest series of Shared University Research (SUR) awards, bringing IBM's ...]]></description>
  <dc:date>2005-02-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/59/Bayes-OWL">
  <title><![CDATA[Bayes OWL]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/59/Bayes-OWL</link>
  <description><![CDATA[Dealing with uncertainty is crucial in ontology engineering tasks such
as domain modeling, ontology reasoning, and concept mapping between
ontologies. The Bayes OWL project addresses this problem by exploring
how uncertainty can be modeled in ontologies using Bayesian networks
(BN). Our approach involves extending OWL to allow additional
probabilistic markups for attaching probability information.  Having
done so, we can directly convert a probabilistically annotated OWL
ontology into ...]]></description>
  <dc:date>2003-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph">
  <title><![CDATA[Medical Data Polygraph]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph</link>
  <description><![CDATA[Healthcare organizations exchange sensitive health records, including behavioral health data, across peer-to-peer networks, and it is challenging to find and fix compliance issues proactively.

The Healthcare industry anticipates a growing need to audit substance use disorder patient data, commonly referred to as Part 2 data, having been shared without a release of information signed by the patient. To address this need, we developed and evaluated a novel methodology to detect Part 2 data e...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/108/Modelling-the-evolution-of-climate-change-research">
  <title><![CDATA[Modelling the evolution of climate change research]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/108/Modelling-the-evolution-of-climate-change-research</link>
  <description><![CDATA[We are developing algorithms using dynamic topic modeling to understand influence and predict future trends in a scientific discipline. As an initial use case, we are applying this to climate change and use assessment reports of the Intergovernmental Panel on Climate Change (IPCC) and the papers they cite. Since 1990, an IPCC report has been published every five years that includes four separate volumes, each of which has many chapters. Each report cites tens of thousands of research papers, ...]]></description>
  <dc:date>2015-01-01</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/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/project/html/id/22/Simulator-to-evaluate-prototype-Local-Area-and-Personal-Area-Wireless-Network-Protocols">
  <title><![CDATA[Simulator to evaluate/prototype Local Area and Personal Area Wireless Network Protocols]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/22/Simulator-to-evaluate-prototype-Local-Area-and-Personal-Area-Wireless-Network-Protocols</link>
  <description><![CDATA[Rapid advances in wireless networks are making ubiquitous computing a
reality. New standards (such as Bluetooth, HomeRF, etc.), products
and, services are emerging rapidly. In such a dynamic environment, a
comprehensive network simulator with good modeling/emulation
capability would be an immensely useful tool to "prototype/test" new
communication protocols and experiment interaction among existing
protocols. The current efforts to build network simulator for
Bluetooth PANs are...]]></description>
  <dc:date>2001-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization">
  <title><![CDATA[Web/Data Mining and Personalization]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization</link>
  <description><![CDATA[The evolution of the Internet into the Global Information Infrastructure, coupled with the immense
    popularity of the Web, has also enabled the ordinary citizen to become not just a consumer of information, but also its
    disseminator. The Web, then, is becoming the apocryphal Vox Populi. Given that there is this vast and ever growing
    amount of information, how does the average user quickly find what s/he is looking for -- a task in which the present
    day search engines don'...]]></description>
  <dc:date>1999-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1222/Ontology-Driven-Agentic-System-for-Automating-Security-Compliance-in-Medical-Cyber-Physical-WBANs">
  <title><![CDATA[Ontology Driven Agentic System for Automating Security Compliance in Medical Cyber-Physical WBANs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1222/Ontology-Driven-Agentic-System-for-Automating-Security-Compliance-in-Medical-Cyber-Physical-WBANs</link>
  <description><![CDATA[Medical Wireless Body Area Networks (WBANs)
operate as medical cyber-physical systems (MCPS) that continuously
sense and transmit sensitive patient health data, creating
significant security, privacy, and regulatory challenges. Traditional
WBAN protections focus on lightweight cryptography but
lack semantic reasoning and automated compliance of data regulations
such as Health Insurance Portability and Accountability
Act (HIPAA) and General Data Protection Regulation (GDPR).
We have de...]]></description>
  <dc:date>2026-07-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1223/WIP-The-Impact-of-Financial-Aid-and-Academic-Pathways-on-Graduation">
  <title><![CDATA[WIP: The Impact of Financial Aid and Academic Pathways on Graduation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1223/WIP-The-Impact-of-Financial-Aid-and-Academic-Pathways-on-Graduation</link>
  <description><![CDATA[Our work seeks to find out whether we can predict a student's graduation in STEM majors using AI, specifically in Engineering and Computing, based on both academic factors known at admission time and financial factors that the institution can control. We create an integrated predictive modeling system that uses financial assistance in conjunction with academic preparation and enrollment methods to determine student success as measured by graduation. The dataset contains anonymized records of ...]]></description>
  <dc:date>2026-03-28</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/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/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/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins">
  <title><![CDATA[Change Management using Generative Modeling on Digital Twins]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins</link>
  <description><![CDATA[A key challenge faced by small and medium-sized business entities is securely managing software updates and changes. Specifically, with rapidly evolving cybersecurity threats, changes/updates/patches to software systems are necessary to stay ahead of emerging threats and are often mandated by regulators or statutory authorities to counter these. However, security patches/updates require stress testing before they can be released in the production system. Stress testing in production environme...]]></description>
  <dc:date>2023-10-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1078/Semantically-informed-Hierarchical-Event-Modeling">
  <title><![CDATA[Semantically-informed Hierarchical Event Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1078/Semantically-informed-Hierarchical-Event-Modeling</link>
  <description><![CDATA[Prior work has shown that coupling sequential latent variable models with semantic ontological knowledge can improve the representational capabilities of event modeling approaches.  In this work, we present a novel, doubly hierarchical, semi-supervised event modeling framework that provides structural hierarchy while also accounting for ontological hierarchy. Our approach consists of multiple layers of structured latent variables, where each successive layer compresses and abstracts the previ...]]></description>
  <dc:date>2023-07-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1061/RevUp-Revise-and-Update-Information-Bottleneck-for-Event-Representation">
  <title><![CDATA[RevUp: Revise and Update Information Bottleneck for Event Representation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1061/RevUp-Revise-and-Update-Information-Bottleneck-for-Event-Representation</link>
  <description><![CDATA[The existence of external (“side”) semantic knowledge has been shown to result in more expressive computational event models. To enable the use of side information that may be noisy or missing, we propose a semi-supervised information bottleneck-based discrete latent variable model. We reparameterize the model’s discrete variables with auxiliary continuous latent variables and a light-weight hierarchical structure. Our model is learned to minimize the mutual information between the obse...]]></description>
  <dc:date>2023-05-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1069/ProKnow-Process-knowledge-for-safety-constrained-and-explainable-question-generation-for-mental-health-diagnostic-assistance">
  <title><![CDATA[ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1069/ProKnow-Process-knowledge-for-safety-constrained-and-explainable-question-generation-for-mental-health-diagnostic-assistance</link>
  <description><![CDATA[Virtual Mental Health Assistants (VMHAs) are utilized in health care to provide patient services such as counseling and suggestive care. They are not used for patient diagnostic assistance because they cannot adhere to safety constraints and specialized clinical process knowledge (ProKnow) used to obtain clinical diagnoses. In this work, we define ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain. W...]]></description>
  <dc:date>2023-01-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content">
  <title><![CDATA[Building Textual Fuzzy Interpretive Structural Modeling to Analyze Factors of Student Mobility Based on User Generated Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content</link>
  <description><![CDATA[Many factors influence student mobility across regions and countries. The roles of these factors, along with their interrelationship and interaction, make student mobility a complex decision-making issue. Many textual data generated on social media can answer many open questions about factors affecting human behavior, particularly social mobility. We have developed a novel methodology, called Textual Fuzzy Interpretive Structural Modeling (TFISM), that automatically analyses large textual dat...]]></description>
  <dc:date>2022-11-02</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>2026-09-27</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/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>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web">
  <title><![CDATA[Modeling and using trust and provenance in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web</link>
  <description><![CDATA[This is Li Ding' proposal preview, and some parts are not finished yet. This proposal shows how to model trust and provenance to make the semantic web a useful real world knowledge base. It first positions trust and provenance in the big picture of semantic web research. Then some important reasearch problems along this line are listed with preliminary work.]]></description>
  <dc:date>2004-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/39/Modeling-Conversation-Policies-as-Policies">
  <title><![CDATA[Modeling Conversation Policies as Policies]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/39/Modeling-Conversation-Policies-as-Policies</link>
  <description><![CDATA[Slides for :  Lalana Kagal, and Tim Finin, A Generic Model for Conversation Specifications and Policies based on Permissions and Obligations, AAMAS 2004 Workshop on Agent Communication (AC2004), July 2004]]></description>
  <dc:date>2004-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
  <title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere</link>
  <description><![CDATA[ebiquity meeting presentation 04/12/06]]></description>
  <dc:date>2006-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents">
  <title><![CDATA[Predicting food web connectivity: Phylogenetic scope, evidence thresholds, and intelligent agents]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents</link>
  <description><![CDATA[Presentation at the Ecological Society of America annual meeting in Memphis, TN  August 8, 2006. Part of a symposium organized by Tim Keitt and Bill Fagan: Structure and Dynamics of Ecological Networks.

We parameterize a model for predicting trophic links using previously published interaction networks and phylogenetic/taxonomic trees. Interactors in given food webs are identified where possible to scientific name at the most appropriate taxonomic level so that a tree can used to search fo...]]></description>
  <dc:date>2006-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/31/SEMDIS-Knowledge-Discovery-in-the-Semantic-Web">
  <title><![CDATA[SEMDIS: Knowledge Discovery in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/31/SEMDIS-Knowledge-Discovery-in-the-Semantic-Web</link>
  <description><![CDATA[Our research will focus on designing, prototyping, and evaluating a system called SemDIS (Semantic Discovery) that supports indexing and querying of complex semantic relationships and is driven by notions of information trust and provenance and models of hypotheses and arguments under investigation. This poster was prepared for the June 2004 NSF ITE grantees meeting for the project
ITR-SemDIS: Discovering Complex Relationships in the Semantic Web..

Research in search techniques was a crit...]]></description>
  <dc:date>2004-06-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/293/Trust-and-Reputation-in-Social-Networks">
  <title><![CDATA[Trust and Reputation in Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/293/Trust-and-Reputation-in-Social-Networks</link>
  <description><![CDATA[Trust is a statement (or prediction of reliance) about what is otherwise
unknown or uncertain -- for example, because it is far away, cannot be
verified, or is in the future. Trust is pervasive and beneficial in complex
social systems. It can be built from direct interactions between the source
party (truster) and the target (trustee). However, in large open systems, it
is infeasible for each party to have a direct basis for trusting another
party. Therefore, the participants in an open...]]></description>
  <dc:date>2010-03-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media">
  <title><![CDATA[Trust, Influence andBias in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media</link>
  <description><![CDATA[This presentation gives an overview of recent research at UMBC on modeling influence, trust and bias in soial media content.]]></description>
  <dc:date>2009-06-11</dc:date>
 </item>
</rdf:RDF>
