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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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  <description><![CDATA[UMBC ebiquity RSS Tag Search for data]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text"/>
      <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/getnews/html/id/24/Finin-to-serve-as-editor-in-chief-of-Journal-of-Web-Semantics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/23/CentaurusComm"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/97/Cloud-Security-and-Privacy"/>
      <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/8/DAML-ITTalks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/66/Database-Semanticizer"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1221/Deontic-Policies-for-Runtime-Governance-of-Agentic-AI-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1222/Ontology-Driven-Agentic-System-for-Automating-Security-Compliance-in-Medical-Cyber-Physical-WBANs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1219/Addressing-Improper-Payments-in-Government-Healthcare-through-Blockchain-and-Generative-AI"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/320/2010-Techno-Bioblitz-Occurences"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/301/A-framework-for-collaborative-data-gathering"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/283/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/273/Analysis-of-Data-Mining-Algorithms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/385/Best-paper-award-2023-ESWC-workshop"/>
      <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/361/Cloud-Security-and-Compliance-Ontology"/>
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 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/13/W3C-Workshop-on-Constraints-and-Capabilities-for-Web-Services">
  <title><![CDATA[W3C Workshop on  Constraints and Capabilities for Web Services]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/13/W3C-Workshop-on-Constraints-and-Capabilities-for-Web-Services</link>
  <description><![CDATA[Various aspects of a Web service may require description. This includes its constraints (e.g., "You must use HTTP Authentication when accessing this service") and its capabilities (e.g., "I can support GZIP compression"). Likewise, clients accessing Web services have constraints and capabilities of their own to consider when accessing services.

Many such aspects are typically associated with a number of orthogonal problem domains; for example, it may be desirable to describe constraints an...]]></description>
  <dc:date>2004-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference">
  <title><![CDATA[ACM SIGMOD/PODS 2004 Conference]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference</link>
  <description><![CDATA[The annual ACM SIGMOD conference is a leading forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. We invite the submission of original research contributions and industrial papers, as well as proposals for panels, tutorials, and demonstrations. We encourage submissions relating to all aspects of data management defined broadly, and particularly encourage work on topics of emerging interest in ...]]></description>
  <dc:date>2004-06-13</dc:date>
 </item>
 <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/484/Semantic-knowledge-and-privacy-in-the-physical-web">
  <title><![CDATA[Semantic knowledge and privacy in the physical web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web</link>
  <description><![CDATA[In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and person...]]></description>
  <dc:date>2016-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things">
  <title><![CDATA[From Strings to Things]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things</link>
  <description><![CDATA[The Web is the greatest source of general knowledge available today. Its current form, however, suffers from two limitations.  The first is that text and multimedia objects on the Web are easy for people to understand but difficult for machines to interpret and use.  The second is that the Web's access paradigm remains dominated by information retrieval, where keyword queries produce a ranked list of documents that must be read to find the desired information.  I'll discuss research in natura...]]></description>
  <dc:date>2016-07-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text">
  <title><![CDATA[Beyond NER: Towards Semantics in Clinical Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/480/Beyond-NER-Towards-Semantics-in-Clinical-Text</link>
  <description><![CDATA[While clinical text NLP systems have become very effective in recognizing named entities in clinical text and mapping them to standardized terminologies in the normalization process, there remains a gap in the ability of extractors to combine entities together into a complete semantic representation of medical concepts that contain multiple attributes each of which has its own set of allowed named entities or values. Furthermore, additional domain knowledge may be required to determine the se...]]></description>
  <dc:date>2015-10-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue">
  <title><![CDATA[Is your personal data at risk? App analytics to the rescue]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue</link>
  <description><![CDATA[According to Virustotal, a prominent virus and malware tool, the Google Play Store has a few thousand apps from major malware families. Given such a revelation, access control systems for mobile data management, have reached a state of critical importance. We propose the development of a system which would help us detect the pathways using which user's data is being stolen from their mobile devices. We use a multi layered approach which includes app meta data analysis, understanding code patt...]]></description>
  <dc:date>2015-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/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/477/Attribute-based-Fine-Grained-Access-Control-for-Triple-Stores">
  <title><![CDATA[Attribute-based Fine Grained Access Control for Triple Stores]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/477/Attribute-based-Fine-Grained-Access-Control-for-Triple-Stores</link>
  <description><![CDATA[The maturation of semantic web standards and associated web-based data representations like schema.org have made RDF a popular model for representing graph data and semi-structured knowledge. However, most existing SPARQL endpoint supports simple access control mechanism preventing its use for many applications. To protect the data stored in RDF stores, we describe a framework to support attribute-based fine grained access control and explore its feasibility. We implemented a prototype of the...]]></description>
  <dc:date>2015-09-14</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/473/Taming-Wild-Big-Data">
  <title><![CDATA[Taming Wild Big Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/473/Taming-Wild-Big-Data</link>
  <description><![CDATA[In this week's Ebiquity meeting, Jennifer Sleeman will talk about "Taming Wild Big Data".

Wild Big Data is data that is hard to extract, understand, and use due to its heterogeneous nature and volume. It typically comes without a schema, is obtained from multiple sources and provides a challenge for information extraction and integration. We describe a way to subduing Wild Big Data that uses techniques and resources that are popular for processing natural language text. The approach is...]]></description>
  <dc:date>2014-11-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/47/Ebiquity-team-wins-the-Best-Paper-Award-at-the-IEEE-BigDataSecurity-2022-Conference">
  <title><![CDATA[Ebiquity team wins the Best Paper Award at the IEEE BigDataSecurity 2022 Conference]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/47/Ebiquity-team-wins-the-Best-Paper-Award-at-the-IEEE-BigDataSecurity-2022-Conference</link>
  <description><![CDATA[The paper "Semantically Rich Access Control in Cloud EHR Systems Based on MA-ABE" authored by Sharad Dixit, Karuna Pande Joshi, SeungGeol Choi, and Lavanya Elluri won the Best Paper Award at the IEEE Big Data Security on the Cloud 2022 held in May 6-8 at Jinan, China.]]></description>
  <dc:date>2022-05-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-">
  <title><![CDATA[From 'Need to Know’ to ‘Need to Share’:]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-</link>
  <description><![CDATA[From 'Need to Know’ to ‘Need to Share’: UMBC to Lead Six Campus-Team to Turn 9-11 Commission Intel-Sharing Reforms into Technology System

$7.5-million, Five-Year DoD Grant Partners UMBC With Purdue, Michigan, Illinois, Others

CONTACT: Chip Rose, UMBC News, 
410-455-5793, 
crose@umbc.edu


A six-campus team of computer scientists led by UMBC has been awarded a $7.5 million, five-year grant from the Department of Defense to turn the 9-11 Commission’s recommendations for bette...]]></description>
  <dc:date>2008-04-30</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/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/33/SemNews-news-text-to-Semantic-Web">
  <title><![CDATA[SemNews: news text to Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web</link>
  <description><![CDATA[SemNews Understands the News 

 Prototype UMBC system interprets online news stories  and  publishes text meaning on the Semantic Web

      SemNews is a prototype
application being developed by UMBC Ph.D. student Akshay Java that
uses a sophisticated text understanding system to interpret summaries
of news stories, publishes the results on the semantic web and
provides browsing and query services over them.  The project is the
result of a collaboration between the UMBC's Institute ...]]></description>
  <dc:date>2006-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere">
  <title><![CDATA[Welcome to the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere</link>
  <description><![CDATA[Welcome to the Splogosphere!

UMBC study estimates that 75% of posts to English language weblogs are spam


Baltimore, December 16, 2005

 A weblog monitoring system developed by UMBC Ph.D. student Pranam
Kolari shows that a new form of spam -- spam blogs or splogs --
has quickly become a serious problem. 

 Splogs are "fake"
weblog sites that have been set up to carry paid advertisements,
promote affiliated web sites by increasing their PageRank, and to get
new sites noti...]]></description>
  <dc:date>2005-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/30/ELVIS-poster-wins-award">
  <title><![CDATA[ELVIS poster wins award]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/30/ELVIS-poster-wins-award</link>
  <description><![CDATA[Our ELVIS
poster presented by Joel Sachs and Cyndy Parr at the NBII All-Nodes Meeting was
given an award for the poster generating the most interest.
The poster describes a suite of tools being build as part of the NSF
and USGS sponsored SPIRE project
that is exploring how semantic web technologies can be used by
ecological biologists.

The ELVIS (the Ecosystem Location Visualization and Information
System) tool suite is motivated by the belief that food web structure
plays a role i...]]></description>
  <dc:date>2005-10-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/24/Finin-to-serve-as-editor-in-chief-of-Journal-of-Web-Semantics">
  <title><![CDATA[Finin to serve as editor-in-chief of  Journal of Web Semantics]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/24/Finin-to-serve-as-editor-in-chief-of-Journal-of-Web-Semantics</link>
  <description><![CDATA[UMBC faculty member Tim Finin has accepted a post as an
editor-in-chief of the 
Journal of Web Semantics, joining co-editors-in-chief Carol Gobel
and Rudi Struder.

 The Journal of Web Semantics is an interdisciplinary journal based
on research and applications of various subject areas that contribute
to the development of a knowledge-intensive and intelligent service
Web. These areas include: knowledge technologies, ontology, agents,
databases and the semantic grid, obviously di...]]></description>
  <dc:date>2005-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/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/105/ALDA-Automated-Legal-Document-Analytics">
  <title><![CDATA[ALDA: Automated Legal Document Analytics]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics</link>
  <description><![CDATA[There has been an exponential growth in use of digitized legal documents in recent years. Majority of services on the Internet have associated legal documents such as Terms of Services, Privacy Policies and Service Level agreements. A large corpus of court cases, judgments and compliance/regulations are now digitally available for e-discovery. Moreover, businesses are maintaining large data sets of legal contracts that they have signed with their employees, customers and contractors. Furtherm...]]></description>
  <dc:date>2014-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF">
  <title><![CDATA[ArRf - Activity Recognition with RF]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF</link>
  <description><![CDATA[As the population ages tools for aiding in the care of elderly become increasingly valuable.  There is a need for a suite of tools that monitor senior citizens, help them through their day, and alert others if they need help.  Several good techniques for creating systems that assist senior citizens have emerged.  What all such computer systems lack is a good way to determine what a person is actually doing.  Entering every task that a person does into a computer is time consuming and not prac...]]></description>
  <dc:date>2005-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/23/CentaurusComm">
  <title><![CDATA[CentaurusComm]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/23/CentaurusComm</link>
  <description><![CDATA[It is well-known that TCP performs poorly in wireless a environment. This
project involves an empirical performance analysis of TCP on Cellular
Digital Packet Data (CDPD), Bluetooth and Wireless LAN (WLAN). This
analysis brings out the weaknesses of TCP in realistic conditions. We also
describe the design of CentaurusComm, a message based transport protocol
designed to perform well in low bandwidth networks and resource poor
devices. In particular, CentaurusComm is optimized to ...]]></description>
  <dc:date>1999-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/97/Cloud-Security-and-Privacy">
  <title><![CDATA[Cloud Security and Privacy]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/97/Cloud-Security-and-Privacy</link>
  <description><![CDATA[This project covers research on Security and Privacy pertaining to Cloud computing and cloud based services. 
We have developed a   semantically rich, policy driven approach to address the privacy, security and usage concerns around such cloud data.]]></description>
  <dc:date>2011-08-01</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/8/DAML-ITTalks">
  <title><![CDATA[DAML / ITTalks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks</link>
  <description><![CDATA[DAML Tools for supporting Intelligent Information Annotation, Sharing and RetrievalWith the vast quantity of information now available on the Internet, there is a need to manage this information by marking it with a semantic language, such as DARPA Agent Markup Language (DAML), and using intelligent search engines and other tools, in conjunction with ontology-based matching, to provide better search results and data manipulation capabilities. The aim of the semantic web is to make the current...]]></description>
  <dc:date>2000-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures">
  <title><![CDATA[Data Privacy management using Policy compliant Blockchain structures]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures</link>
  <description><![CDATA[An important requirement of any information management system is to protect data and resources against leak or improper modifications, while at the same time ensure data availability to legitimate users. Moreover, systems handling personal data must also track its provenance and be regularly audited to comply with regulations. By assuring auditable, privacy policy compliant actions, we can also guarantee that areas where privacy policies have been technically enforced are highlighted.

As p...]]></description>
  <dc:date>2016-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/66/Database-Semanticizer">
  <title><![CDATA[Database Semanticizer]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/66/Database-Semanticizer</link>
  <description><![CDATA[The vision of the Semantic web is to give the web a well defined meaning by representing the same in OWL and linking it to ontologies accepted commonly by standardization efforts. Most of the formatted data is today stored in the form of relational databases. We need to RDFize it in order to use this data on the Semantic Web. The data model behind RDF is a directed labeled graph, which consists of nodes and labeled directed arcs linking pairs of nodes. To export data from an RDBMS into R...]]></description>
  <dc:date>2004-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1221/Deontic-Policies-for-Runtime-Governance-of-Agentic-AI-Systems">
  <title><![CDATA[Deontic Policies for Runtime Governance of Agentic AI Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1221/Deontic-Policies-for-Runtime-Governance-of-Agentic-AI-Systems</link>
  <description><![CDATA[Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not just by authentication and access control, but by the full structure of enterprise governance. This includes specifying what agents are permitted and prohibited from doing, what they are obliged to do ...]]></description>
  <dc:date>2026-07-13</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/1219/Addressing-Improper-Payments-in-Government-Healthcare-through-Blockchain-and-Generative-AI">
  <title><![CDATA[Addressing Improper Payments in Government Healthcare through Blockchain and Generative AI]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1219/Addressing-Improper-Payments-in-Government-Healthcare-through-Blockchain-and-Generative-AI</link>
  <description><![CDATA[Clinical patient data must be transformed into financial claim formats for submission to state Medicaid agencies and the federal Centers for Medicare and Medicaid Services (CMS). This is achieved through a process called electronic data interchange (EDI), which is specified in regulation and has standards for data definition that are maintained by the American National Standards Institute/Accredited Standards Committee X12. This standard and the data exchange process is the financial gas and ...]]></description>
  <dc:date>2026-04-03</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/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain">
  <title><![CDATA[Measuring the Compliance Costs of Exchanging Part 2 Healthcare Claims Data Through Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain</link>
  <description><![CDATA[Patient selections for keeping data confidential may differ between healthcare organizations, creating conflicts
in confidentiality for how sensitive and demographic data is linked and merged. Validating that patient data
exchange between organizations adheres to healthcare regulations, like the Health Insurance Portability and
Accountability Act (HIPAA), is challenging and time-consuming and relies upon organizational due diligence
to validate data upon receipt, or in the case of breache...]]></description>
  <dc:date>2026-03-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing">
  <title><![CDATA[Deontic Knowledge Graphs for Privacy Compliance in Multimodal Disaster Data Sharing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing</link>
  <description><![CDATA[Disaster response requires sharing heterogeneous artifacts, from tabular assistance records to UAS imagery, under overlapping privacy mandates. Operational systems often reduce compliance to binary access control, which is brittle in time-critical workflows. We present a novel deontic knowledge graph-based framework that integrates a Disaster Management Knowledge Graph (DKG) with a Policy Knowledge Graph (PKG) derived from IoT-Reg and FEMA/DHS privacy drivers. Our release decision function su...]]></description>
  <dc:date>2026-01-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin">
  <title><![CDATA[Security Compliance for Smart Manufacturing using Knowledgegraph based Digital Twin]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin</link>
  <description><![CDATA[The combination of Information Technology (IT) and Operational Technology (OT) in smart manufacturing, driven by smart factory innovations and Internet of Things (IoT) devices, generates vast, diverse, and rapidly evolving Big Data, which in turn increases cybersecurity and compliance issues. Adherence to security standards, such as NIST SP 800-171, which requires rigorous access control and audit reporting, is currently obstructed by the resource-intensive and error-prone aspects of manual e...]]></description>
  <dc:date>2025-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange">
  <title><![CDATA[TRUCE: TRUsted Compliance Enforcement Service for Secure Health Data Exchange]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange</link>
  <description><![CDATA[Organizations are increasingly sharing large volumes of sensitive Personally Identifiable Information (PII), like health records, with each other to better manage their services. Protecting PII data has become increasingly important in today's digital age, and several regulations have been formulated to ensure the secure exchange and management of sensitive personal data. However, at times some of these regulations are at loggerheads with each other, like the Health Insurance Portability and ...]]></description>
  <dc:date>2025-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1203/DUNE-A-Machine-Learning-Deep-UNET-based-ensemble-Approach-to-Monthly-Seasonal-and-Annual-Climate-Forecasting">
  <title><![CDATA[DUNE: A Machine Learning Deep UNET++ based ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1203/DUNE-A-Machine-Learning-Deep-UNET-based-ensemble-Approach-to-Monthly-Seasonal-and-Annual-Climate-Forecasting</link>
  <description><![CDATA[Capitalizing on the recent availability of ERA5 monthly averaged, long-term data records of mean atmospheric and climate fields derived from the high-resolution reanalysis, deep learning architectures provide an alternative to physics-based daily numerical weather predictions for subseasonal to seasonal (S2S) and annual forecasts. A novel deep U-Net++-based ensemble (DUNE) neural architecture is introduced, incorporating encoder–decoder structures with residual blocks. When initialized with...]]></description>
  <dc:date>2025-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models">
  <title><![CDATA[Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models</link>
  <description><![CDATA[Regulatory compliance is mandatory for Internet of Things (IoT) manufacturers, particularly under stringent frameworks such as the General Data Protection Regulation (GDPR), which governs the handling of personal data. We introduce a novel framework for automating IoT compliance verification by integrating a Large Language Model (LLM) with a domain-specific Knowledge Graph (KG). The framework achieves two primary objectives: 1) leveraging the LLM to interpret natural-language compliance queri...]]></description>
  <dc:date>2025-07-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/38/Blockchain">
  <title><![CDATA[Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/38/Blockchain</link>
  <description><![CDATA[Projects looking at policy rich Blockchains for managing Data Privacy and Security]]></description>
  <dc:date>2026-09-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/14/Data-Mining">
  <title><![CDATA[Data Mining]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/14/Data-Mining</link>
  <dc:date>2026-09-07</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>2026-09-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/9/Semantic-Web">
  <title><![CDATA[Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/9/Semantic-Web</link>
  <description><![CDATA[The Semantic Web is the representation of data on the World Wide Web. The W3C is currently developing standards for the semantic web built on a foundation of XML, RDF and OWL.


    "The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation." -- Tim Berners-Lee, James Hendler, Ora Lassila, The Semantic Web, Scientific American, May 2001.]]></description>
  <dc:date>2026-09-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples">
  <title><![CDATA[10M RDF triples]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples</link>
  <description><![CDATA[A colleague has been testing the scalablilty of a triple store using synthetic triples.  He asked if we could package up a large collection of real tiples caught in the wild by Swoogle.  After talking a bit, it was decided that having them as a simple SQL database dump would be the most convenient form.

This SQL database dump contains a table that of about 10.4M RDF triples extracted from the Swoogle cache on June 15, 2005.  The size of the compressed file is 162M and when uncompressed its...]]></description>
  <dc:date>2005-06-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/320/2010-Techno-Bioblitz-Occurences">
  <title><![CDATA[2010 Techno Bioblitz Occurences]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/320/2010-Techno-Bioblitz-Occurences</link>
  <description><![CDATA[An RDF representation of data collected at the 2010 Bioblitz held during the 2010
Biodiversity Information Standards Conference (TDWG) in the Fall of 2010 in Woods Hole, MA. 




For some sample queries related to this data, see http://www.cs.umbc.edu/~jsachs/occurrences/queries/sample.txt]]></description>
  <dc:date>2011-02-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/301/A-framework-for-collaborative-data-gathering">
  <title><![CDATA[A framework for collaborative data gathering]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/301/A-framework-for-collaborative-data-gathering</link>
  <description><![CDATA[The popularity of Internet-enabled mobile technology allows people to participate in many data gathering tasks such as making scientific observation, responding to regional polls, and collecting location-specific information such as parking availability and road conditions.  We describe initial work on a prototype and framework to support applications requiring collaborative data gathering and an awareness of a mobile device user's context. The framework uses Semantic Web languages to represe...]]></description>
  <dc:date>2010-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/283/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies">
  <title><![CDATA[A Schema-Based Approach Combined with Inter-Ontology Reasoning to Construct Consensus Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/283/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies</link>
  <description><![CDATA[As the Semantic Web gains attention as the next generation of the Web, the issue of reconciling different views of independently developed and exposed data sources becomes increasingly important. Ontology integration serves as a basis for solving this problem. In this paper, we describe an approach to construct a consensus ontology from numerous, independently designed ontologies.

Our method has the following features: i) the matching is carried out at the schema level; ii) the alignment o...]]></description>
  <dc:date>2009-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/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/355/Annotations-of-Cybersecurity-blogs-and-articles">
  <title><![CDATA[Annotations of Cybersecurity blogs and articles]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles</link>
  <description><![CDATA[This data is the result of a Master Thesis Project by Ravendar Lal under the supervision of Dr. Tim Finin. This dataset can be used for training technical systems. This dataset consists of manually data for cybersecurity domain where this data collection has the articles from CVES, Adobe Security Bulletins, Microsoft Security Bulletins and various blog posts. Total data has over 45,000 tokens and 5,000 tagged entities. Annotation was done by the Graduate Students of Computer Science Departmen...]]></description>
  <dc:date>2013-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables">
  <title><![CDATA[Automatically Generating Linked Data from Tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables</link>
  <description><![CDATA[Evidence for a table’s meaning can be found in its metadata but currently requires human interpretation. We describe techniques grounded in graphical models and probabilistic reasoning to infer meaning associated with a table. Using background knowledge from the Linked Open Data cloud, we automatically infer the semantics of column headers, table cell values (e.g., strings and numbers) and relations between columns and represent the inferred meaning as graph of RDF triples.]]></description>
  <dc:date>2011-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/385/Best-paper-award-2023-ESWC-workshop">
  <title><![CDATA[Best paper award, 2023, ESWC workshop]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/385/Best-paper-award-2023-ESWC-workshop</link>
  <description><![CDATA[BEST PAPER AWARD

Towards Semantic Exploration of Tables in Scientific Documents
V. Mulwad, V. S. Kumar, J. W. Williams, T. Finin, S. Dixit, and A. Joshi

Semantic Technologies for Scientific, Technical, and Legal Data
co-located with Extended Semantic Web Conference 2023]]></description>
 </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/361/Cloud-Security-and-Compliance-Ontology">
  <title><![CDATA[Cloud Security and Compliance Ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/361/Cloud-Security-and-Compliance-Ontology</link>
  <description><![CDATA[Ontology describing Cloud data threats, security controls and compliance standards]]></description>
  <dc:date>2014-07-27</dc:date>
 </item>
</rdf:RDF>
