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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/431/Analytics-for-Detecting-Web-and-Social-Media-Abuse"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/409/Genetic-information-for-chronic-disease-prediction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/388/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/363/Hyperspectral-Imaging-an-Emerging-Technique-in-Remote-Sensing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/351/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-linked-data"/>
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      <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/70/CoCoNet-Content-and-Context-Aware-Networking"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/16/MagicWeaver-An-Agent-Based-Simulation-Framework-For-Wireless-Sensor-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/108/Modelling-the-evolution-of-climate-change-research"/>
      <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/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1132/Knowledge-Graphs-and-Reinforcement-Learning-A-Hybrid-Approach-for-Cybersecurity-Problems"/>
      <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/paper/html/id/1037/Knowledge-Infused-Learning-A-Sweet-Spot-in-Neuro-Symbolic-AI"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/960/Using-Knowledge-Graphs-and-Reinforcement-Learning-for-Malware-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/943/Knowledge-Graph-Inference-using-Tensor-Embedding"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/898/NAttack-Adversarial-Attacks-to-bypass-a-GAN-based-classifier-trained-to-detect-Network-intrusion"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/302/DDRE-Managing-the-Assured-Information-Sharing-Lifecycle"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/194/Semantically-Linked-Bayesian-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/293/Trust-and-Reputation-in-Social-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology"/>
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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/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/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/415/Cyber-Security-Situation-Awareness-and-Impact-Assessment-Issues-Models-and-Applications">
  <title><![CDATA[Cyber Security Situation Awareness and Impact Assessment: Issues, Models and Applications]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/415/Cyber-Security-Situation-Awareness-and-Impact-Assessment-Issues-Models-and-Applications</link>
  <description><![CDATA[Cyber attacks committed against IT networks and services have profound impact both on ongoing mission and future missions, whose operations are based on these networks and services. The attacks, by exploiting the vulnerabilities of the software assets can push their impact through Cyber Terrain – a dependency network of structural, spatial, functional and other domain-specific dependencies that exist among software assets and services, and reach the missions. In this presentation we will in...]]></description>
  <dc:date>2011-11-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies">
  <title><![CDATA[Combining NoSQL Products to Further Enhance Semantic Technologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies</link>
  <description><![CDATA[AllegroGraph is a fully ACID and highly scalable RDF triplestore that
can be programmed with compiled, server side JavaScript. This allows
programmers to easily manipulate individual triples and create their
own intelligent graph or reasoning algorithms. However, one wish that
has been expressed by many programmers is to work on the level of
objects instead of individual triples, where an object would be
defined as all the triples with the same subject. So we created a
MongoDB interfac...]]></description>
  <dc:date>2011-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/409/Genetic-information-for-chronic-disease-prediction">
  <title><![CDATA[Genetic information for chronic disease prediction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/409/Genetic-information-for-chronic-disease-prediction</link>
  <description><![CDATA[Type 2 diabetes and coronary artery disease are commonly occurring polygenic-multifactorial diseases, which are responsible for significant morbidity and mortality. The identification of people at risk for these conditions has historically been based on clinical factors alone. However, this resulted in prediction algorithms that are linked to symptomatic states, which have limited accuracy in asymptomatic individuals. Advances in genetics have raised the hope that genetic testing may aid in d...]]></description>
  <dc:date>2011-09-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/388/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance">
  <title><![CDATA[Enabling Reproducibility of Scientific Data Flows through Tracking and Representation of Provenance]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/388/Enabling-Reproducibility-of-Scientific-Data-Flows-through-Tracking-and-Representation-of-Provenance</link>
  <description><![CDATA[Reproducibility of results is a key tenet of science. Some modern scientific domains, such as Earth Science, have become computationally complicated and, particularly with the advent of higher resolution space based remote sensing platforms, tremendously data intensive. Over the last few decades, these complexities along with the the rapid advancement of the state of the art confound the goal of scientific transparency.
This thesis explores concepts of data identification, organization, equi...]]></description>
  <dc:date>2011-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/363/Hyperspectral-Imaging-an-Emerging-Technique-in-Remote-Sensing">
  <title><![CDATA[Hyperspectral Imaging: an Emerging Technique in Remote Sensing]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/363/Hyperspectral-Imaging-an-Emerging-Technique-in-Remote-Sensing</link>
  <description><![CDATA[Hyperspectral imaging has expanded capability of multispectral imaging
in many prospects. Specifically, it changes many ways how algorithms
are designed from traditional spatial-domain (literal) analysis to
spectral-domain (non-literal) analysis. This is mainly due to the fact
that many unknown substances which cannot be identified by visual
inspection or prior knowledge can now be uncovered by high spectral
resolution provided by hyperspectral imagery. It is particularly
evidential in...]]></description>
  <dc:date>2010-09-17</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/351/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-linked-data">
  <title><![CDATA[T2LD – An automatic framework for extracting,            interpreting and representing tables as linked data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/351/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-linked-data</link>
  <description><![CDATA[MS Thesis Defense


We present an automatic framework for extracting, interpreting and
generating linked data from tables. In the process of representing
tables as linked data, we assign every column header a class label
from an appropriate ontology, link table cells (if appropriate) to an
entity from the Linked Open Data cloud and identify relations between
various columns in the table, which helps us to build an overall
interpretation of the table. Using the limited evidence provid...]]></description>
  <dc:date>2010-06-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/36/Parr-gives-invited-talk-at-ESA-2006">
  <title><![CDATA[Parr gives invited talk at ESA 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/36/Parr-gives-invited-talk-at-ESA-2006</link>
  <description><![CDATA[Dr. Cynthia Parr was invited to present on the work of SPIRE at the annual meeting of the Ecological Society of  America in Memphis, TN on August 8, 2006 (91st ESA)

Her talk was part of a symposium on the application of graph theory to ecology. She described our work on ELVIS (appropriately enough, as the conference was in Memphis), a prototype system that generates species lists and then uses the Food Web Constructor to predict feeding links among the species. She also described the UMBC ...]]></description>
  <dc:date>2006-08-23</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/12/UMBC-Student-honored-by-CRA-as-an-Outstanding-Undergraduate">
  <title><![CDATA[UMBC Student honored by CRA as an Outstanding Undergraduate]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/12/UMBC-Student-honored-by-CRA-as-an-Outstanding-Undergraduate</link>
  <description><![CDATA[UMBC undergraduate Katherine Hirsch received an honorable
mention award in the Computing Research Association's tenth
annual CRA Outstanding Undergraduate Awards competition,
which recognizes undergraduate students who show outstanding
research potential in an area of importance to computing
research. The awards were presented on July 28 at the 2004
National Conference of the American Association of
Artificial Intelligence in San Jose, California.

The candidates, nominated by their ...]]></description>
  <dc:date>2004-08-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/21/UMBC-Participates-in-CNSF-s-9th-Annual-Capitol-Hill-Science-Exhibition">
  <title><![CDATA[UMBC Participates in CNSF's 9th Annual Capitol Hill Science Exhibition]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/21/UMBC-Participates-in-CNSF-s-9th-Annual-Capitol-Hill-Science-Exhibition</link>
  <description><![CDATA[UMBC faculty and students developed a booth and demonstration for the
Computer Research Association as part of it's participation in the 
 9th annual Coalition for National Science Funding (CNSF) Capitol Hill
 Exhibition and Reception.

CRA joined over 30 other scientific societies and institutions in this
event, which is organized annualy by CNSF to showcase to Members of
Congress and staff the crucial role of the National Science Foundation
in meeting the nation's research and edu...]]></description>
  <dc:date>2003-06-19</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/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/16/MagicWeaver-An-Agent-Based-Simulation-Framework-For-Wireless-Sensor-Networks">
  <title><![CDATA[MagicWeaver: An Agent Based Simulation Framework For Wireless Sensor Networks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/16/MagicWeaver-An-Agent-Based-Simulation-Framework-For-Wireless-Sensor-Networks</link>
  <description><![CDATA[There is a growing interest in the research community towards a paradigm in which computing is embedded into our daily lives. Everyday objects shall act as computing devices, enriching user experience and enhancing the environments in which we live. Sensor Networks are a step in this direction. Sensor Network research is still in its infancy, with research spanning from hardware to communication to data management and to software engineering principles. To build a strong foundation on the pri...]]></description>
  <dc:date>2001-09-01</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/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/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/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices">
  <title><![CDATA[A Study of the Landscape of Privacy Policies of Smart Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices</link>
  <description><![CDATA[As the adoption of smart devices continues to permeate all aspects of our lives, concerns surrounding user privacy have become more pertinent than ever before. While privacy policies define the data management practices of their manufacturers, previous work has shown that they are rarely read and understood by users. Hence, automatic analysis of privacy policies has been shown to help provide users with appropriate insights. Previous research has extensively analyzed privacy policies of websi...]]></description>
  <dc:date>2023-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis">
  <title><![CDATA[Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis</link>
  <description><![CDATA[Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The use of Big Data in farming requires the collection and analysis of data from various sources such as sensors, satellites, and farmer surveys. While Big Data can provide the farming community with valuable insights and improve efficiency, there is significant concern regarding the security of this data as well as th...]]></description>
  <dc:date>2023-12-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1132/Knowledge-Graphs-and-Reinforcement-Learning-A-Hybrid-Approach-for-Cybersecurity-Problems">
  <title><![CDATA[Knowledge Graphs and Reinforcement Learning: A Hybrid Approach for Cybersecurity Problems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1132/Knowledge-Graphs-and-Reinforcement-Learning-A-Hybrid-Approach-for-Cybersecurity-Problems</link>
  <description><![CDATA[With the explosion of available data and computational power, machine learning and deep learning techniques are being increasingly used to solve problems. The domain of cybersecurity is no exception, as we have seen multiple papers in the recent past using data-driven machine learning approaches for different tasks.

Rule-based and supervised machine learning-based approaches are often brittle in detecting attacks, can be defeated by adversaries that adapt, and cannot use the knowledge of e...]]></description>
  <dc:date>2023-07-19</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/paper/html/id/1037/Knowledge-Infused-Learning-A-Sweet-Spot-in-Neuro-Symbolic-AI">
  <title><![CDATA[Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1037/Knowledge-Infused-Learning-A-Sweet-Spot-in-Neuro-Symbolic-AI</link>
  <description><![CDATA[Deep learning has revolutionized the artificial intelligence (AI) landscape by enhancing machine capabilities to understand data-dependant relationships. On the other hand, knowledge may not directly correlate or depend on the data but represents facts that are true. Combining knowledge with the data-driven deep learning techniques improves upon what can be learned from data alone, resulting in improved performance with reduced training, user-level explainability, modeling uncertainty in deep...]]></description>
  <dc:date>2022-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1019/Quantum-Assisted-Greedy-Algorithms">
  <title><![CDATA[Quantum-Assisted Greedy Algorithms]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1019/Quantum-Assisted-Greedy-Algorithms</link>
  <description><![CDATA[We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for making locally optimal choices at each stage, we use QAs that sample from the ground state of problem-dependent Hamiltonians at cryogenic temperatures and use retrieved samples to estimate the probability distribution of problem variables. More specifically, we look at each spin of the Ising model as a random variab...]]></description>
  <dc:date>2022-07-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/965/A-Comparative-Study-of-Deep-Learning-based-Named-Entity-Recognition-Algorithms-for-Cybersecurity">
  <title><![CDATA[A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/965/A-Comparative-Study-of-Deep-Learning-based-Named-Entity-Recognition-Algorithms-for-Cybersecurity</link>
  <description><![CDATA[Named Entity Recognition (NER) is important in the cybersecurity domain. It helps researchers extract cyber threat information from unstructured text sources. The extracted cyber entities or key expressions can be used to model a cyber-attack described in an open-source text. A large number of general-purpose NER algorithms have been published that work well in text analysis. These algorithms do not perform well when applied to the cybersecurity domain. In the field of cybersecurity, the open...]]></description>
  <dc:date>2020-12-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/960/Using-Knowledge-Graphs-and-Reinforcement-Learning-for-Malware-Analysis">
  <title><![CDATA[Using Knowledge Graphs and Reinforcement Learning for Malware Analysis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/960/Using-Knowledge-Graphs-and-Reinforcement-Learning-for-Malware-Analysis</link>
  <description><![CDATA[Machine learning algorithms used to detect attacks are limited by the fact that they cannot incorporate the background knowledge that an analyst has. This limits their suitability in detecting new attacks. Reinforcement learning is different from traditional machine learning algorithms used in the cybersecurity domain. Compared to traditional ML algorithms, reinforcement learning does not need a mapping of the input-output space or a specific user-defined metric to compare data points. This i...]]></description>
  <dc:date>2020-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/943/Knowledge-Graph-Inference-using-Tensor-Embedding">
  <title><![CDATA[Knowledge Graph Inference using Tensor Embedding]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/943/Knowledge-Graph-Inference-using-Tensor-Embedding</link>
  <description><![CDATA[Axiom based inference provides a  clear and consistent way of reasoning to add more information to a knowledge graph.  However, constructing a set of axioms is expensive and requires domain expertise, time, and money.  It is also difficult to reuse or adapt a set of axioms to a knowledge graph in a new domain or even in the same domain but using a slightly different representation approach. This work makes three main contributions,  it (1) provides a family of representation learning algorith...]]></description>
  <dc:date>2020-09-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/898/NAttack-Adversarial-Attacks-to-bypass-a-GAN-based-classifier-trained-to-detect-Network-intrusion">
  <title><![CDATA[NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/898/NAttack-Adversarial-Attacks-to-bypass-a-GAN-based-classifier-trained-to-detect-Network-intrusion</link>
  <description><![CDATA[With the recent developments in artificial intelligence and machine learning, anomalies in network traffic can be detected using machine learning approaches. Before the rise of machine learning, network anomalies which could imply an attack were detected using well-crafted rules. An attacker who has knowledge in the field of cyber-defense could make educated guesses to sometimes accurately predict which particular features of network traffic data the cyber-defense mechanism is looking at. Wit...]]></description>
  <dc:date>2020-05-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/32/Machine-learning">
  <title><![CDATA[Machine learning]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/32/Machine-learning</link>
  <description><![CDATA[Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases.]]></description>
  <dc:date>2026-09-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/273/Analysis-of-Data-Mining-Algorithms">
  <title><![CDATA[Analysis of Data Mining Algorithms]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/273/Analysis-of-Data-Mining-Algorithms</link>
  <description><![CDATA[A report comparing the various algorithms used in Data Mining]]></description>
  <dc:date>1999-03-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web">
  <title><![CDATA[Blackbook3: A Graph Analytic Processing Platform For The Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web</link>
  <description><![CDATA[Started in 2006, Blackbook3 is primarily an RDF middleware framework for integrating data and executing algorithms. Its purpose is to enable content providers and developers to focus on their unique problem, allowing Blackbook3 to handle the production-level, enterprise framing that is commonly duplicated. Security, web services, ingestion tools, visualizers,workflow, and analyst applications are provided as additional features. This talk will go into the current and future use cases for Bla...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/302/DDRE-Managing-the-Assured-Information-Sharing-Lifecycle">
  <title><![CDATA[DDRE: Managing the Assured Information Sharing Lifecycle]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/302/DDRE-Managing-the-Assured-Information-Sharing-Lifecycle</link>
  <description><![CDATA[AISL (Assured Information Sharing Lifecycle) is a MURI project that is developing new approaches to support assured information sharing. The team includes researchers from UMBC, Purdue University, and the Universities of Illinois, Michigan, Texas at Dallas, and Texas at San Antonio. Our research is framed by the recognition of a life cycle for shared information comprising five phases: advertising and discovery, negotiation for access and usage rights, integration and analysis, generation of ...]]></description>
  <dc:date>2010-07-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/270/Framework-for-Managing-the-Assured-Information-Sharing-Lifecycle">
  <title><![CDATA[Framework for Managing the Assured Information Sharing Lifecycle]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/270/Framework-for-Managing-the-Assured-Information-Sharing-Lifecycle</link>
  <description><![CDATA[AISL (Assured Information Sharing Lifecycle) is a MURI project that is developing new approaches to support assured information sharing. The team includes researchers from UMBC, Purdue University, and the Universities of Illinois, Michigan, Texas at Dallas, and Texas at San Antonio. Our research is framed by the recognition of a life cycle for shared information comprising five phases: advertising and discovery, negotiation for access and usage rights, integration and analysis, generation of ...]]></description>
  <dc:date>2009-06-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Masters Thesis Presentation)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions similar to the web. Real world blog networks resemble many properties of web graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.

In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Poster)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions
similar to the web. Real world blog networks resemble many properties of web
graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.
In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/277/Problem-Space-Analysis-for-Plan-Library-Generation-and-Algorithm-Selection-in-Real-time-Systems">
  <title><![CDATA[Problem Space Analysis for Plan Library Generation and Algorithm Selection in Real-time Systems]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/277/Problem-Space-Analysis-for-Plan-Library-Generation-and-Algorithm-Selection-in-Real-time-Systems</link>
  <description><![CDATA[Ph.D. Preliminary Exam

Computing solutions to intractable planning problems is particularly problematic within real-time domains.  Many visitation planning problems can be mapped to a Dynamic Vehicle Routing Problem (DVRP), in which a system uses a set of vehicles to visit a set of potentially changing locations.  One approach to this problem includes off-line computation of contingency plans. However, because complex domains preclude creating a comprehensive library, a system must choose ...]]></description>
  <dc:date>2009-08-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/194/Semantically-Linked-Bayesian-Networks">
  <title><![CDATA[Semantically-Linked Bayesian Networks]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/194/Semantically-Linked-Bayesian-Networks</link>
  <description><![CDATA[At the present time, Bayesian networks (BNs), presumably the most popular uncertainty inference framework, are still widely used as standalone systems. When the problem itself is distributed, domain knowledge has to be centralized and unified before a single BN can be created. Alternatively, separate BNs describing related sub-domains or different aspects of the same domain may be created, but it is difficult to combine them for problem solving even if the interdependent relations between var...]]></description>
  <dc:date>2006-08-02</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/244/Wikipedia-as-an-ontology">
  <title><![CDATA[Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying the topics and concepts associated with a document
or collection of documents is a common task for many
applications. It can help in the annotation and categorization
of documents in a corpus. Knowing the topics of documents a
user has selected and viewed on the Web or from a collection
can be used to model the user's current topical interests for
improving search results, business intelligence or selecting
appropriate advertisements.

We are exploring the idea of using W...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
</rdf:RDF>
