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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/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables">
  <title><![CDATA[TABEL -- A Domain Independent and Extensible Framework for Inferring the Semantics of Tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables</link>
  <description><![CDATA[ 

 Dissertation Defense

Tables are an integral part of documents, reports and Web pages in many scientific and technical domains, compactly encoding important information that can be difficult to express in text. Table-like structures outside documents, such as spreadsheets, CSV files, log files and databases, are widely used to represent and share information. However, tables remain beyond the scope of regular text processing systems which often treat them like free text.

This ...]]></description>
  <dc:date>2015-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs">
  <title><![CDATA[Citizen Science on the Social and Semantic Web, PhD proposal, Joel Sachs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs</link>
  <description><![CDATA[Ph.D. Dissertation Proposal

A question faced by semantic web developers is how much explicit semantics to include in their ontologies. A typical answer is that it depends on the use case, since different use cases demand different thicknesses for the semantic layer. This suggest several questions, including: What types of patterns in the rdf graph make a semantic layer &quot;thick&quot; or &quot;thin&quot;? What does it mean for an ontology to support a use case? and Can we create ontologi...]]></description>
  <dc:date>2011-09-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/401/A-Security-Framework-to-Cope-With-Node-Misbehaviors-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[A Security Framework to Cope With Node Misbehaviors in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/401/A-Security-Framework-to-Cope-With-Node-Misbehaviors-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[Ph.D. Dissertation Defense

A Mobile Ad-hoc NETwork (MANET) has no fixed infrastructure, and is generally composed of a dynamic set of cooperative peers. These peers share their wireless transmission power with other peers so that indirect communication can be possible between nodes that are not in the radio range of each other . The nature of MANETs, such as node mobility, unreliable transmission medium and restricted battery power, makes them extremely vulnerable to a variety of node misb...]]></description>
  <dc:date>2011-06-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis">
  <title><![CDATA[Learning by Reading: Automatic Knowledge Extraction Through Semantic Analysis]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis</link>
  <description><![CDATA[Ph.D. Dissertation Defense

To support rich semantic analysis of text, traditional natural language processing tools require access to a cache of static knowledge with both broad coverage and deep meaning.  Acquiring this knowledge by hand is so expensive and error-prone, it has been dubbed the "knowledge acquisition bottleneck".  In this work, we present a method for reducing the impact of this bottleneck by automating the knowledge acquisition task using the novel approach of bootstrappin...]]></description>
  <dc:date>2010-07-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/313/Dynamic-Domain-Adapting-Sentiment-Classifiers">
  <title><![CDATA[Dynamic Domain Adapting Sentiment Classifiers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/313/Dynamic-Domain-Adapting-Sentiment-Classifiers</link>
  <description><![CDATA[Justin Martineau will give us a
preview of his dissertation proposal.

Sentiment analysis is the automatic detection and measurement of sentiment
in text segments by machines. However, sentiment is highly domain dependent.
This is particularly troubling given the scale and variety of topics seen on
the web. Providing sentiment search on the web requires more than the
standard machine learning approach. In this talk I describe a plan to
overcome domain dependence by breaking down docum...]]></description>
  <dc:date>2009-09-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/312/Privacy-Preserving-Distributed-Data-Mining-A-Multi-objective-Optimization-and-Algorithmic-Game-theoretic-Approach">
  <title><![CDATA[Privacy Preserving Distributed Data Mining: A Multi-objective Optimization and Algorithmic Game-theoretic Approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/312/Privacy-Preserving-Distributed-Data-Mining-A-Multi-objective-Optimization-and-Algorithmic-Game-theoretic-Approach</link>
  <description><![CDATA[Use of technology for data collection and analysis has seen an unprecedented growth in the last couple of decades. Individuals and organizations generate huge amount of data through everyday activities. This data is either centralized for pattern identification or mined in a distributed fashion for efficient knowledge discovery and collaborative computation. This, obviously, has raised serious concerns about privacy issues. The data mining community has responded to this challenge by deve...]]></description>
  <dc:date>2009-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space">
  <title><![CDATA[Efficient Planning Using Plan Libraries to Capture the Structure of the State Space]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space</link>
  <description><![CDATA[Ph.D. Dissertation Defense

Automated, domain-independent planning is a research area within Artificial Intelligence that is used in a variety of practical applications, especially those for which a large degree of autonomy is required. Planning programs that are given information about the current state of the world, the available actions, and a set of goals that should be achieved. The planner's task is determining the plan: a set of actions and ordering constraints among them. A domain-i...]]></description>
  <dc:date>2009-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/291/Selective-Knowledge-Transfer-for-Machine-Learning">
  <title><![CDATA[Selective Knowledge Transfer for Machine Learning]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/291/Selective-Knowledge-Transfer-for-Machine-Learning</link>
  <description><![CDATA[Dissertation Defense

Knowledge transfer from previously learned tasks to a new task is a fundamental component of human learning. Recent work has shown that knowledge transfer can also improve machine learning, enabling more rapid learning or higher levels of performance.  Transfer allows learning algorithms to reuse knowledge from a set of previously learned source tasks to improve learning on new target tasks. Proper selection of the source knowledge to transfer to a given target task is...]]></description>
  <dc:date>2009-04-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/292/Stochastic-and-Iterative-Techniques-for-Relational-Data-Clustering">
  <title><![CDATA[Stochastic and Iterative Techniques for Relational Data Clustering]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/292/Stochastic-and-Iterative-Techniques-for-Relational-Data-Clustering</link>
  <description><![CDATA[Dissertation Defense


This research focuses on the topic of relational data clustering,
which is the task of organizing objects into logical groups, or
clusters, taking into account the relational links between objects. As
a research area, relational clustering has received a great deal of
attention recently, because of the large variety of social media
applications and other modern relational data sources that have become
popular, such as weblogs, protein interaction networks, soci...]]></description>
  <dc:date>2009-04-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/45/Ebiquity-student-Karuna-Joshi-s-IBM-Ph-D-Fellowship-renewed-for-2012-13">
  <title><![CDATA[Ebiquity student Karuna Joshi's IBM Ph.D. Fellowship renewed for 2012-13]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/45/Ebiquity-student-Karuna-Joshi-s-IBM-Ph-D-Fellowship-renewed-for-2012-13</link>
  <description><![CDATA[Ebiquity Ph.D. student Karuna Joshi's  IBM Ph.D. Fellowship award has been renewed for the 2012-2013 academic year. She received this award for the 2011-2012 year as well. Ms. Joshi's dissertation involves developing a new framework for automating the configuration, negotiation and procurement of services in a cloud computing environment using semantic web technologies. She is working with co-advisers Professors Yelena Yesha and Tim Finin.

The IBM Ph.D. Fellowship Awards Program is highly ...]]></description>
  <dc:date>2012-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/41/Ebiquity-student-Karuna-Joshi-receives-IBM-Ph-D-Fellowship">
  <title><![CDATA[Ebiquity student Karuna Joshi receives IBM Ph.D. Fellowship]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/41/Ebiquity-student-Karuna-Joshi-receives-IBM-Ph-D-Fellowship</link>
  <description><![CDATA[Ebiquity Ph.D. student Karuna Joshi has received a IBM Ph.D. Fellowship award for the 2011-2012 academic year. Ms. Joshi's dissertation involves developing a new framework for automating the configuration, negotiation and procurement of services in a cloud computing environment using semantic web technologies. She is working with co-advisers Professors Yelena Yesha and Tim Finin. The IBM Ph.D. Fellowship Awards Program is highly competitive and selects exceptional Ph.D. students who have an i...]]></description>
  <dc:date>2011-03-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006">
  <title><![CDATA[Looking back at the ebiquity research group's 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006</link>
  <description><![CDATA[Maybe it's a bit of a cliché, but this is the traditional time to look back on the past year and reflect on how things are going.  It has been an active productive year.  Here's a rundown of our past year by the numbers.

205,000 is the number of visits to the Ebiquity web site.  Our monthly page visits increased five fold over the year and we currently receive about 25,000 visits a month.


   



743 people have
registered as users of the Swoogle
semantic web search system.  By ...]]></description>
  <dc:date>2007-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/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/18/UMBC-ebiquity-group-launches-four-new-PhDs">
  <title><![CDATA[UMBC ebiquity group launches four new PhDs]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/18/UMBC-ebiquity-group-launches-four-new-PhDs</link>
  <description><![CDATA[Four ebiquity laboratory researchers were awarded PhD
degrees in UMBC's 2004 Winter Commencement: Drs Lalana
Kagal, Harry (Lik) Chen, Xiaochen Luan and Dipanjan
Chakraborty.

 Harry (Lik) Chen's
dissertation,  An
Intelligent Broker Architecture for Pervasive Context-Aware
Systems , advanced understanding of how we can build
Wireless computing environments that offer intelligent
services while protecting privacy.  Dr. Chen has joined Image Matters LLC, a
Leesburg VA company speciali...]]></description>
  <dc:date>2004-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/17/Harry-Chen-defends-dissertation">
  <title><![CDATA[Harry Chen defends dissertation]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/17/Harry-Chen-defends-dissertation</link>
  <description><![CDATA[Harry (Lik) Chen successfully defended his dissertation on  An Intelligent Broker Architecture for Pervasive Context-Aware Systems .  Dr. Chen has joined Image Matters LLC, a Leesburg VA company specializing in Semantic Web, Internet, geospatial, wireless and sensor technologies.]]></description>
  <dc:date>2004-12-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/14/Xiaocheng-Luan-defends-dissertation">
  <title><![CDATA[Xiaocheng Luan defends dissertation]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/14/Xiaocheng-Luan-defends-dissertation</link>
  <description><![CDATA[Xiaocheng Luan successfully defended his dissertation on Adaptive Middle
Agent for Service Matching in the Semantic Web: A Quantitative
Approach.  He is a Senior Software Engineer in the Computer
Science Branch of the Lister Hill National Center for Biomedical
Communications at the U.S. National Library of Medicine, a part of
NIH.]]></description>
  <dc:date>2004-09-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/13/Lalana-Kagal-defends-dissertation">
  <title><![CDATA[Lalana Kagal defends dissertation]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/13/Lalana-Kagal-defends-dissertation</link>
  <description><![CDATA[Lalana Kagal successfully defended her dissertation on "A Policy-Based Approach to Governing Autonomous Behavior in Distributed Environments".  She will begin a post doctoral appointment at the MIT CSAIL Lab in 2005.]]></description>
  <dc:date>2004-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/10/Three-new-PhDs">
  <title><![CDATA[Three new PhDs]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/10/Three-new-PhDs</link>
  <description><![CDATA[Three ebiquity Ph.D students defended their dissertation
research and graduated in the Spring of 2004.  Doctors Filip
Perich, Jeff
Undercoffer and Youyong
Zou were hooded and received their diplomas at the UMBC
graduation on May 19, 2004.

 Dr. Filip Perich investigated data management problems
in pervasive computing environments, with the support of
National Science Foundation. He developed and validated
protocols for data discovery, routing, querying,
transactional support, and ...]]></description>
  <dc:date>2004-05-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/5/Olga-Streltchenko">
  <title><![CDATA[Olga Streltchenko]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/5/Olga-Streltchenko</link>
  <description><![CDATA[Olga Streltchenko successfully defended her Ph.D.  dissertation on  Exploring Trading Dynamics in a Derivative Securities Market of Heterogeneous Agents.]]></description>
  <dc:date>2003-11-14</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/908/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/paper/html/id/908/Modeling-and-Extracting-Information-about-Cybersecurity-Events-from-Text</link>
  <description><![CDATA[People now rely on the Internet to carry out much of 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 transactions done every day, the frequency of cybercrime events is also growing. Since the number of security-related events is too high for manual review and monitoring, we...]]></description>
  <dc:date>2019-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/910/Joint-Models-to-Refine-Knowledge-Graphs">
  <title><![CDATA[Joint Models to Refine Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/910/Joint-Models-to-Refine-Knowledge-Graphs</link>
  <description><![CDATA[A knowledge graph can be viewed as a structural representation of beliefs with nodes and edges in which the nodes represent real-world entities or events and the edges are relations believed to hold between pairs of entities. Multiple levels of processes are involved in extracting such knowledge graphs from natural language text, starting with reading and understanding the text, then constructing a graph of the entities found and the relations between them, and inferring missing relations tha...]]></description>
  <dc:date>2019-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/871/Joint-Models-to-Refine-Knowledge-Graphs">
  <title><![CDATA[Joint Models to Refine Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/871/Joint-Models-to-Refine-Knowledge-Graphs</link>
  <description><![CDATA[A knowledge graph can be viewed as a structural representation of beliefs with nodes and edges in which the nodes represent real-world entities or events and the edges are relations believed to hold between pairs of entities. Multiple levels of processes are involved in extracting such knowledge graphs from natural language text, starting with reading and understanding the text, then constructing a graph of the entities found and the relations between them, and inferring missing relations tha...]]></description>
  <dc:date>2019-10-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/911/A-Framework-for-Detecting-Anomalous-Behaviors-in-Smart-Cyber-physical-Systems">
  <title><![CDATA[A Framework for Detecting Anomalous Behaviors in Smart Cyber-physical Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/911/A-Framework-for-Detecting-Anomalous-Behaviors-in-Smart-Cyber-physical-Systems</link>
  <description><![CDATA[This dissertation makes significant contributions to automatic, scalable, and data-driven approaches for securing smart cyber-physical systems (CPS). Smart CPS are increasingly embedded in our everyday life. Security incidents involving them are often high-profile because of their ability to control critical infrastructure. Stuxnet and the Ukrainian power-grid attack are some notorious attacks reported against CPS which impacted governmental programs to ordinary users. In addition to the deli...]]></description>
  <dc:date>2019-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1133/A-Framework-for-Detecting-Anomalous-Behaviors-in-Smart-Cyber-Physical-Systems">
  <title><![CDATA[A Framework for Detecting Anomalous Behaviors in Smart Cyber-Physical Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1133/A-Framework-for-Detecting-Anomalous-Behaviors-in-Smart-Cyber-Physical-Systems</link>
  <description><![CDATA[This dissertation makes significant contributions to automatic, scalable, and data-driven approaches for securing smart cyber-physical systems (CPS). Smart CPS are increasingly embedded in our everyday life. Security incidents involving them are often high-prolfie because of their ability to control critical infrastructure.  Stuxnet and the Ukrainian power-grid attack are some notorious attacks reported against CPS which impacted governmental programs to ordinary users. In addition to the del...]]></description>
  <dc:date>2019-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/816/Cleaning-Noisy-Knowledge-Graphs">
  <title><![CDATA[Cleaning Noisy Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/816/Cleaning-Noisy-Knowledge-Graphs</link>
  <description><![CDATA[My dissertation research is developing an approach to identify
and explain errors in a knowledge graph constructed by extracting
entities and relations from text. Information extraction systems can automatically
construct knowledge graphs from a large collection of documents,
which might be drawn from news articles, Web pages, social
media posts or discussion forums. The language understanding task is
challenging and current extraction systems introduce many kinds of errors.
Previous w...]]></description>
  <dc:date>2017-10-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/815/Dynamic-Data-Assimilation-for-Topic-Modeling-DDATM-">
  <title><![CDATA[Dynamic Data Assimilation for Topic Modeling (DDATM)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/815/Dynamic-Data-Assimilation-for-Topic-Modeling-DDATM-</link>
  <description><![CDATA[Understanding how a particular discipline such as climate science evolves over time has received renewed interest. By understanding this evolution, predicting the future direction of the discipline becomes more achievable. Dynamic Topic Modeling (DTM) has been applied to a number of disciplines to model topic evolution as a means to learn how a particular scientific discipline and its underlying concepts are changing. Understanding how a discipline evolves, and its internal and external influ...]]></description>
  <dc:date>2017-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation">
  <title><![CDATA[Deep Representation of Lyrical Style and Semantics for Music Recommendation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation</link>
  <description><![CDATA[In an increasingly mobile and connected world, digital music consumption has rapidly increased. More recently, faster and cheaper mobile bandwidth has given the average mobile user the potential to access large troves of music through streaming services like Spotify and Google Music that boast catalogs with tens of millions of songs. At this scale, effective music recommendation is an important part of user experience and music discovery. Collaborative filtering (CF), a popular technique used...]]></description>
  <dc:date>2017-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/917/Rapid-Plan-Adaptation-Through-Offline-Analysis-of-Potential-Plan-Disruptors">
  <title><![CDATA[Rapid Plan Adaptation Through Offline Analysis of Potential Plan Disruptors]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/917/Rapid-Plan-Adaptation-Through-Offline-Analysis-of-Potential-Plan-Disruptors</link>
  <description><![CDATA[Computing solutions to intractable planning problems is particularly problematic in dynamic, real-time domains. For example, visitation planning problems, such as a delivery truck that must deliver packages to various locations, can be mapped to a Traveling Salesman Problem (TSP). The TSP is an NP-complete problem, requiring planners to use heuristics to find solutions to any significantly large problem instance, and can require a lengthy amount of time. Planners that solve the dynamic varian...]]></description>
  <dc:date>2016-05-01</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/138/Anand-s-Ph-D-proposal">
  <title><![CDATA[Anand's Ph.D. proposal]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/138/Anand-s-Ph-D-proposal</link>
  <description><![CDATA[Anand Patwardhan's Doctoral Dissertation Proposal Document]]></description>
  <dc:date>2005-03-04</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/360/Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/360/Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Slides for Lushan Han's dissertation defense, Schema Free Querying of Semantic Data.

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 addre...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/347/Semantically-Rich-Policy-Based-Framework-to-Automate-Lifecycle-of-Cloud-Based-Services">
  <title><![CDATA[Semantically Rich, Policy Based Framework to Automate Lifecycle of Cloud Based Services]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/347/Semantically-Rich-Policy-Based-Framework-to-Automate-Lifecycle-of-Cloud-Based-Services</link>
  <description><![CDATA[Managing virtualized services efficiently over the cloud is an open challenge.  Traditional models of software development are very time consuming and labor intensive for the cloud computing domain, where software (and other) services are acquired on demand. Virtualized services are often composed of pre-existing components that are assembled on an as-needed basis. We have developed a new framework to automate the acquisition, composition and consumption/ monitoring of virtualized services de...]]></description>
  <dc:date>2012-11-19</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/152/Semi-Automated-Bartering-of-Digital-Goods-and-Services-in-Pervasive-Environments">
  <title><![CDATA[Semi Automated Bartering of Digital Goods and Services in Pervasive Environments]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/152/Semi-Automated-Bartering-of-Digital-Goods-and-Services-in-Pervasive-Environments</link>
  <description><![CDATA[Doctoral Dissertation Proposal PPT- Olga Ratsimor]]></description>
  <dc:date>2005-10-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base">
  <title><![CDATA[Wikitology: A Wikipedia Derived Knowledge Base]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base</link>
  <description><![CDATA[Wikipedia is a freely available online encyclopedia developed by a community of users. This encyclopedia comprises of millions of articles. The depth and coverage of Wikipedia has attracted the attention of researchers for employing it as a knowledge resource for solving various problems. In this research we propose to exploit Wikipedia along with other related open knowledge sources to automatically generate Semantic knowledge. We discuss Wikipedia’s structure in detail and suggest hybrid ...]]></description>
  <dc:date>2009-02-06</dc:date>
 </item>
</rdf:RDF>
