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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=rdf">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=rdf]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for rdf]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/477/Attribute-based-Fine-Grained-Access-Control-for-Triple-Stores"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/471/Semantics-for-Privacy-and-Context"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/34/SweetRules-v2-1-released"/>
      <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/70/CoCoNet-Content-and-Context-Aware-Networking"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/48/Damlator-Semantic-Web-Translator"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/66/Database-Semanticizer"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/38/eBiquitous-task-computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/62/FOAF"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/39/Intelligent-Personal-Agent"/>
      <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/1207/LLM-based-Knowledge-Graph-Approach-to-Automating-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1179/KiNETGAN-Enabling-Distributed-Network-Intrusion-Detection-through-Knowledge-Infused-Synthetic-Data-Generation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1044/The-SemIoTic-Ecosystem-A-Semantic-Bridge-between-IoT-Devices-and-Smart-Spaces"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/852/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/987/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/9/Semantic-Web"/>
      <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/154/AJAX-Tutorial"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/134/an-RDF-graph-example"/>
      <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/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/74/Database-Semanticizer-Presentation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web"/>
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 <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/471/Semantics-for-Privacy-and-Context">
  <title><![CDATA[Semantics for Privacy and Context]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/471/Semantics-for-Privacy-and-Context</link>
  <description><![CDATA[Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represent...]]></description>
  <dc:date>2014-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes">
  <title><![CDATA[Infoboxer: Using Statistical and Semantic Knowledge to Help Create Wikipedia Infoboxes]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes</link>
  <description><![CDATA[Wikipedia infoboxes serve as input in the creation of knowledge bases
such as DBpedia, Yago, and Freebase. Current creation of Wikipedia
infoboxes is manual and based on templates that are created and
maintained collaboratively.  However, these templates pose several
challenges:



Different communities use different infobox templates for the same category articles

Attribute names differ (e.g., date of birth vs. birthdate)

Templates are restricted to a single category, mak...]]></description>
  <dc:date>2014-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text">
  <title><![CDATA[Extracting cybersecurity related entities, terms and concepts from text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text</link>
  <description><![CDATA[Securing computers, data, cyber-physical systems and networks is a growing problem as society&#39;s dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating &#39;situationally aware&#39; computer systems that defend against new &quot;zero day&quot; software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in text fr...]]></description>
  <dc:date>2013-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration">
  <title><![CDATA[Phd proposal: A Semantic Resolution Framework for Manufacturing Capability Data Integration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration</link>
  <description><![CDATA[Building flexible manufacturing supply chains requires interoperable and accurate manufacturing service capability (MSC) information of all supply chain participants. Today, MSC information, which is typically published either on the supplier’s web site or registered at an e-marketplace portal, has been shown to fall short of the interoperability and accuracy requirements. This issue can be addressed by annotating the MSC information using shared ontologies. However, ontology-based approach...]]></description>
  <dc:date>2013-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-">
  <title><![CDATA[Generating Linked Data from Tables.]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-</link>
  <description><![CDATA[Large amounts of information is stored in tables, spreadsheets, CSV files and databases for a number of domains, including the Web, healthcare, e-science and public policy. The tables' structure facilitates human understanding, yet this very structure makes it difficult for machine understanding. This talk will focus on describing our work on making the intended meaning of tabular data explicit by representing it as RDF linked data, potentially making large amounts of scientific and medical d...]]></description>
  <dc:date>2013-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability">
  <title><![CDATA[An architecture for enterprise information interoperability]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability</link>
  <description><![CDATA[The World Wide Web differed from other early hypertext systems in the removal of "back links" (the ability of a hyperlinked object to link back to a referring resource). The removal of back links allowed the scalability inherent in the Web's design, but sacrificed the knowledge necessary to update links when content moved. Persistent URLs (PURLs) have been used on the Web since 1995 to provide an inexpensive and partial solution to link updates via HTTP redirection: PURLs do not change thei...]]></description>
  <dc:date>2012-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup">
  <title><![CDATA[Semantic Web Meetup]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup</link>
  <description><![CDATA[The UMBC Ebiquity Lab is hosting the November meeting of the Lotico Central Maryland Semantic Web Meetup from 6:00-8:00 pm in room 456 of the ITE building (directions).  All are welcome.  If you want to attend, please join the  Central MD Semantic Web Meetup group and RSVP.  The meeting will start with a pizza social from 6:00pm to 6:45pm and then continue with a series of short presentations of current Semantic Web research being done in our lab.

  Tim Finin: introduction and overview

...]]></description>
  <dc:date>2011-11-15</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/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/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006">
  <title><![CDATA[Finin co-chairs AI and the Web track at AAAI 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006</link>
  <description><![CDATA[UMBC faculty member Tim Finin is the co-chair of a Special Track on
Artificial Intelligence and the Web at the Twenty-First National
Conference on Artificial Intelligence sponsored by the American
Association for Artificial Intelligence (AAAI).  Finin joins
University of Michigan professor Dragomir Radev to organize this track
as part of AAAI's National Conference to be held in Boston July 16-20,
2006.

The special track on AI and the Web invites technical papers on the
use of AI tec...]]></description>
  <dc:date>2005-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/34/SweetRules-v2-1-released">
  <title><![CDATA[SweetRules v2.1 released]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/34/SweetRules-v2-1-released</link>
  <description><![CDATA[First Platform for Semantic Web Rules Now Includes Web Services 
Support and More:  SweetRules V2.1 Released Open Source
 

Contacts: Chitro Neogy (chitro@mit.edu) and Benjamin Grosof (bgrosof@mit.edu)
 
CAMBRIDGE, MA, USA, April 25:  
 
SweetRules, a uniquely powerful integrated set of tools for semantic
web rules and ontologies, is newly enhanced in V2.1 with several
first-of-a-kind capabilities, including support for rule-triggered
WSDL Web Services, RuleML presentation syntax f...]]></description>
  <dc:date>2005-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/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/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/48/Damlator-Semantic-Web-Translator">
  <title><![CDATA[Damlator: Semantic Web Translator]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/48/Damlator-Semantic-Web-Translator</link>
  <description><![CDATA[Developing DAMLator as a module for the popular Apache web server which does server side translations of DAML encoded files and caches the results. Current translation targets include Ntriples, Prolog terms, GIF and PNG. The benefits of using DAMLator are threefold. First, the caching mechanism provides efficiency and scaling by avoiding repeated translations of the DAML encoded files. Second, doing the translation on the server side means that client applications can be smaller, simpler and ...]]></description>
  <dc:date>2001-12-01</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/project/html/id/38/eBiquitous-task-computing">
  <title><![CDATA[eBiquitous task computing]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/38/eBiquitous-task-computing</link>
  <description><![CDATA[Colleagues at Fujitsu's FLACP have implemented a very interesting
envinment that they call "Task Computing Environment" (TCE) that uses
standard Semantic Web (RDF, OWL, DAML-S) and Web Services (SOAP, WSDL)
technology to define, disconver, compose and deliver services.  Their
original vision was to use TCE to provide services in a pervasive
computing environment, but the framework and approach work equally
well for services in a wired environment.  



A good project would be to int...]]></description>
  <dc:date>2003-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/62/FOAF">
  <title><![CDATA[FOAF]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/62/FOAF</link>
  <description><![CDATA[The FOAF (Friend of a Friend) vocabulary has become one of the most
used semantic web ontologies and can be found in millions of RDF
documents on the web. FOAF is used to describe basic attributes of
people and relationships among them.  We have been studying how FOAF
is used on the web as part of a larger effort.]]></description>
  <dc:date>2004-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations">
  <title><![CDATA[Graph of Relations]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations</link>
  <description><![CDATA[ 
Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest.  Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical ``skeleton'' for a query and anno...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/39/Intelligent-Personal-Agent">
  <title><![CDATA[Intelligent Personal Agent]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/39/Intelligent-Personal-Agent</link>
  <description><![CDATA[Objective. The objective is to develop a personal agent that can provide and maintain the contextual information about a user. Acting as a record-keeper, this agent tracks a user's context by acquiring information from external sources (e.g., the context brokers in different smart spaces). Acting as an information provider, this agent shares the updated context information about a user with systems that attempt to provide services to the user. 

We assume the users are willing to share ce...]]></description>
  <dc:date>2003-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/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/1207/LLM-based-Knowledge-Graph-Approach-to-Automating-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[LLM based Knowledge Graph Approach to Automating Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1207/LLM-based-Knowledge-Graph-Approach-to-Automating-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Advanced medical devices increasingly rely on AI driven frameworks to automate compliance processes, ensuring safety and efficacy while reducing regulatory burdens. In the US, software-based medical devices, including those utilizing AI/ML models, are regulated by the FDA’s Center for Devices and Radiological Health (CDRH) under the Code of Federal Regulations (CFR) Title 21. These regulations are extensive, cross-referenced documents that require significant human effort to parse, leading ...]]></description>
  <dc:date>2025-12-11</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/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number
of AI-driven Medical devices to help monitor and medicate
patients. For patients with chronic ailments, like diabetes or
gastric diseases, usage of these devices becomes part of their
daily lifestyle. These medical devices often capture personally
identifiable information (PII) and hence are strictly regulated by
the Food and Drug Administration (FDA) to ensure the safety
and efficacy of the medical device. Medical device regulations
a...]]></description>
  <dc:date>2024-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices">
  <title><![CDATA[Semantically Rich Approach to Automating Regulations of Medical Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices</link>
  <description><![CDATA[Advanced medical devices increasingly use sophisticated AI/ML models to enable real-time analytics for monitoring patients. In the US, these AI models, which often form the underlying device software, are regulated by the Center for Devices & Radiological Health (CDRH) at the Food & Drug Administration (FDA) to ensure the safety & efficacy of the medical device. These regulations for medical devices are currently available as large textual documents, called Code of Federal Regulations (CFR) T...]]></description>
  <dc:date>2024-07-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1179/KiNETGAN-Enabling-Distributed-Network-Intrusion-Detection-through-Knowledge-Infused-Synthetic-Data-Generation">
  <title><![CDATA[KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1179/KiNETGAN-Enabling-Distributed-Network-Intrusion-Detection-through-Knowledge-Infused-Synthetic-Data-Generation</link>
  <description><![CDATA[In the realm of IoT/CPS systems connected over mobile networks, traditional intrusion detection methods analyze network traffic across multiple devices using anomaly detection techniques to flag potential security threats. However, these methods face significant privacy challenges, particularly with deep packet inspection and network communication analysis. This type of monitoring is highly intrusive, as it involves examining the content of data packets, which can include personal and sensiti...]]></description>
  <dc:date>2024-05-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents">
  <title><![CDATA[Knowledge Graph-driven Tabular Data Discovery from Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents</link>
  <description><![CDATA[Synthesizing information from collections of tables embedded within scientific and technical documents is increasingly critical to emerging knowledge-driven applications. Given their structural heterogeneity, highly domain-specific content, and diffuse context, inferring a precise semantic understanding of such tables has traditionally been better accomplished by linking tabular content to concepts and entities in reference knowledge graphs. However, existing tabular data discovery systems ar...]]></description>
  <dc:date>2023-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1044/The-SemIoTic-Ecosystem-A-Semantic-Bridge-between-IoT-Devices-and-Smart-Spaces">
  <title><![CDATA[The SemIoTic Ecosystem: A Semantic Bridge between IoT Devices and Smart Spaces]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1044/The-SemIoTic-Ecosystem-A-Semantic-Bridge-between-IoT-Devices-and-Smart-Spaces</link>
  <description><![CDATA[Smart space administration and application development is challenging in part due to the semantic gap that exists between the high-level requirements of users and the low-level capabilities of IoT devices. The stakeholders in a smart space are required to deal with communicating with specific IoT devices, capturing data, processing it, and abstracting it out to generate useful inferences. Additionally, this makes reusability of smart space applications difficult since they are developed for s...]]></description>
  <dc:date>2022-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/852/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption">
  <title><![CDATA[Delegated Authorization Framework for EHR Services using Attribute Based Encryption]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/852/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption</link>
  <description><![CDATA[Medical organizations find it challenging to adopt cloud-based Electronic Health Records (EHR) services due to the risk of data breaches and the resulting compromise of patient data. Existing authorization models follow a patient-centric approach for EHR management, where the responsibility of authorizing data access is handled at the patient's end. This creates a significant overhead for the patient who must authorize every access of their health record. This is not practical given that mult...]]></description>
  <dc:date>2021-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/987/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption">
  <title><![CDATA[Delegated Authorization Framework for EHR Services using Attribute Based Encryption]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/987/Delegated-Authorization-Framework-for-EHR-Services-using-Attribute-Based-Encryption</link>
  <description><![CDATA[Medical organizations find it challenging to adopt cloud-based Electronic Health Records (EHR) services due to the risk of data breaches and the resulting compromise of patient data. Existing authorization models follow a patient-centric approach for EHR management, where the responsibility of authorizing data access is handled at the patients’ end. This creates significant overhead for the patient, who must authorize every access to their health record. It is also not practical, given that...]]></description>
  <dc:date>2021-09-05</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>2026-10-08</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/154/AJAX-Tutorial">
  <title><![CDATA[AJAX Tutorial]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/154/AJAX-Tutorial</link>
  <description><![CDATA[A tutorial on AJAX]]></description>
  <dc:date>2005-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/134/an-RDF-graph-example">
  <title><![CDATA[an RDF graph example]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/134/an-RDF-graph-example</link>
  <dc:date>2005-08-16</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/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/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices">
  <title><![CDATA[Collabora've	   Data	   Gathering	   Using	    Context-­‐aware	   Mobile	   Devices]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices</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. Reaching users on their mobile devices poses challenges regarding appropriate user selection and user's state to respond to any data queries. We present a context-aware framework to support collaborative data gathering app...]]></description>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/74/Database-Semanticizer-Presentation">
  <title><![CDATA[Database Semanticizer Presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/74/Database-Semanticizer-Presentation</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 ...]]></description>
  <dc:date>2004-12-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-">
  <title><![CDATA[Extracting Cybersecurity related entities, terms and concepts from text.]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-</link>
  <description><![CDATA[MS Thesis Presentation

Securing computers, data, cyber-physical systems and networks is a growing problem as society's dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating 'situationally aware' computer systems that defend against new "zero day" software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in tex...]]></description>
  <dc:date>2013-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web">
  <title><![CDATA[Finding Data, Knowledge, and Answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-05-08</dc:date>
 </item>
</rdf:RDF>
