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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=metadata">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=metadata]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for metadata]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/13/W3C-Workshop-on-Constraints-and-Capabilities-for-Web-Services"/>
      <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/event/html/id/397/Community-Detection-in-Twitter"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/376/COVER-Model-Pivot-Index-for-Flexible-Adaptable-and-Agile-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/311/Understanding-RSM-Relief-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/202/Using-an-RDF-Framework-to-Carry-Metadata-for-Climate-Datasets"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/9/Introducing-Dr-Hidenari-Kiyomitsu-of-Kobe-University"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/82/RDF123"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/53/Swoogle"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/903/Unfolding-the-Structure-of-a-Document-using-Deep-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/744/Poster-Classifying-primary-outcomes-in-rheumatoid-arthritis-Knowledge-discovery-from-clinical-trial-metadata"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/634/Semantics-and-Ontologies-For-EarthCube"/>
      <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/82/foafPub-dataset"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/31/SEMDIS-Knowledge-Discovery-in-the-Semantic-Web"/>
    </rdf:Seq>
  </items>
 </channel>
 <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/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/event/html/id/397/Community-Detection-in-Twitter">
  <title><![CDATA[Community Detection in Twitter]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/397/Community-Detection-in-Twitter</link>
  <description><![CDATA[Mohit Kewalramani will defend his MS thesis titled "Community Detection in Twitter".
 
Twitter has evolved into a source of social, political and real time information in addition to being a means of mass-communication and marketing. Monitoring and analyzing information on Twitter can lead to invaluable insights, which might otherwise be hard to get using conventional media resources. An important task in analyzing highly networked information sources like twitter is to identify communities...]]></description>
  <dc:date>2011-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/376/COVER-Model-Pivot-Index-for-Flexible-Adaptable-and-Agile-Systems">
  <title><![CDATA[COVER Model Pivot Index for Flexible, Adaptable, and Agile Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/376/COVER-Model-Pivot-Index-for-Flexible-Adaptable-and-Agile-Systems</link>
  <description><![CDATA[To support corporate business’ competition on speed to market for product and service development, generically modeled data structures have been  used in the development of vertical application software systems, and in storing XML and RDF data for its flexibility, adaptability, and agility. However, generic data models require multiple self-joins on a single table with a large volume of data, causing slow performance for business intelligence (BI) applications. Conversely, traditional speci...]]></description>
  <dc:date>2010-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics">
  <title><![CDATA[Social media analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics</link>
  <description><![CDATA[This week's ebiquity meeting will focus on social media and two research efforts that are part of our Relief Social Media project.

Mohit Kewalramani will present the topic that he is addressing in his MS research.  An important task in analyzing highly networked information sources like Twitter is to identify communities that are formed. A community can be defined as a group of nodes that have more links within the set than outside it. We plan to present a technique for detecting communiti...]]></description>
  <dc:date>2010-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web">
  <title><![CDATA[The Social Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web</link>
  <description><![CDATA[Note change of time to 1:00pm

The Social Web, a platform where people are connecting through their shared objects of interest, is encountering some boundaries in the areas of information integration, portability, search, and demanding tasks like querying. The Semantic Web is an ideal platform for interlinking and performing operations on the diverse data available from Social Web "data silos", and has produced a variety of approaches to overcome some of the limitations with the Social Web....]]></description>
  <dc:date>2010-06-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/311/Understanding-RSM-Relief-Social-Media">
  <title><![CDATA[Understanding RSM: Relief Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/311/Understanding-RSM-Relief-Social-Media</link>
  <description><![CDATA[Anand Karandikar and Will Murnane will talk about a project they areworking on.  

This talk describes a new ONR-sponsored two-year research project
'Understanding RSM: Relief Social Media' that we are beginning in
conjunction with colleagues at the Lockheed Martin Advanced Technology
Laboratory.  The RSM project is aimed at helping to detect and monitor
information about crises and associated relief efforts from online
sources including both social media and main stream media.

Ther...]]></description>
  <dc:date>2009-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems">
  <title><![CDATA[Provenance Tracking in Climate Science Data Processing Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/230/Provenance-Tracking-in-Climate-Science-Data-Processing-Systems</link>
  <description><![CDATA[NASA, NOAA, ESA and other organizations involved with climate research
have captured huge archives of earth observations.  Over time, the
sensors, spacecraft, science algorithms for transforming and analyzing
the data and the processing frameworks have all evolved.  Tracking the
complete provenance information in concert with the science data used
in research and ultimately, policy decisions is a tremendously
complicated problem.  Data are stored in multiple archives across
multiple ag...]]></description>
  <dc:date>2008-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web">
  <title><![CDATA[Database Infrastructure for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web</link>
  <description><![CDATA[Oracle Database has support for native storage, querying and inference of semantic datasets containing hundreds of millions to billions of triples. This scalable and secure infrastructure can be used to build applications for data integration, metadata (knowledge) representation, ontology usage and management, ontology enhanced search, and so on. Several new features have been added to the database infrastructure support:

    Native inferencing for a part of OWL (basic constructs, property...]]></description>
  <dc:date>2007-09-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/202/Using-an-RDF-Framework-to-Carry-Metadata-for-Climate-Datasets">
  <title><![CDATA[Using an RDF Framework to Carry Metadata for Climate Datasets]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/202/Using-an-RDF-Framework-to-Carry-Metadata-for-Climate-Datasets</link>
  <description><![CDATA[The standards underlying the Semantic Web -- Resource Description
Framework (RDF) and Web Ontology Language (OWL) -- show great
promise in addressing some of the basic problems in earth science
metadata. They provide a framework for explicitly describing the
data models implicit in programs that display and manipulate
data. They also provide a framework where multiple metadata
standards can be described. Most importantly, these data models
and metadata standards can be interrelated, a ...]]></description>
  <dc:date>2007-04-27</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/9/Introducing-Dr-Hidenari-Kiyomitsu-of-Kobe-University">
  <title><![CDATA[Introducing Dr. Hidenari Kiyomitsu of Kobe University]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/9/Introducing-Dr-Hidenari-Kiyomitsu-of-Kobe-University</link>
  <description><![CDATA[Dr. Dr. Hidenari Kiyomitsu is an Associate Professor
at Kobe University who will be visiting the ebiquity group for the Spring 2004 semester.  
His research interests that include multi-media
databases, web personalization and web adaptation.  He is also
interested in how the semantic web technologies can be used to
represent and reason over metadata.  Hide spent the Fall 2004
semester visiting Jim Hendler\'s Mindlab in College Park.
Hide\'s UMBC office is room 358 ITE (the corner offi...]]></description>
  <dc:date>2004-01-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/82/RDF123">
  <title><![CDATA[RDF123]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/82/RDF123</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map spreadsheet cells to a new RDF node or to a literal value. Labels on the nodes in the map can be used to create blank nodes or labeled nodes, a...]]></description>
  <dc:date>2007-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/53/Swoogle">
  <title><![CDATA[Swoogle]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/53/Swoogle</link>
  <description><![CDATA[Swoogle (http://swoogle.umbc.edu/) is an specialized web
search engine that discovers, analyzes and indexes knowledge
encoded in semantic web documents published on the
Web. Swoogle reasons about these documents and their
constituent parts (e.g., terms, individuals, triples) and
records meaningful metadata about them. Swoogle provides
webscale semantic web data access service, which helps human
users and software systems to find relevant documents, terms
and triples, via its search an...]]></description>
  <dc:date>2004-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations">
  <title><![CDATA[Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare  Organizations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations</link>
  <description><![CDATA[Data integration from multiple sources can improve decision-making and predict epidemiological trends. While there are many ben-
eőts to data integration, there are also privacy concerns, especially in healthcare. The Health Insurance Portability and Accountability Act
(HIPAA) is one of the essential regulations in healthcare, and it sets strict standards for the privacy and security of patient data. Often, data integration can be complex because different rules apply to different companie...]]></description>
  <dc:date>2024-01-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains">
  <title><![CDATA[An Overview of Cybersecurity Knowledge Graphs Mapped to the MITRE ATT&CK Framework Domains]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains</link>
  <description><![CDATA[A large volume of cybersecurity-related data sets
are generated daily from systems following disparate protocols
and standards. It is humanly impossible for cybersecurity experts
to manually sieve through these large data sets, with different
schema and metadata, to determine potential attacks or issues.
A myriad of applications and tool sets are offered to automate
the analysis of large cyber data sets. Semantic Web’s community
has been studying the field of cybersecurity for over a...]]></description>
  <dc:date>2023-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/903/Unfolding-the-Structure-of-a-Document-using-Deep-Learning">
  <title><![CDATA[Unfolding the Structure of a Document using Deep Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/903/Unfolding-the-Structure-of-a-Document-using-Deep-Learning</link>
  <description><![CDATA[Understanding and extracting information from large documents, such as business opportunities, academic articles, medical documents, and technical reports, poses challenges not present in short documents. Such large documents may be multi-themed, complex, noisy, and cover diverse topics. We describe a framework that can analyze large documents and help people and computer systems locate desired information in them. We aim to automatically identify and classify different sections of documents ...]]></description>
  <dc:date>2019-09-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Current language understanding approaches are mostly focused on small documents, such as newswire articles, blog posts, and product reviews. Understanding and extracting information from large documents like legal documents, reports, proposals, technical manuals, and research articles is still a challenging task. Because the documents may be multi-themed, complex, and cover diverse topics. The content can be split into multiple files or aggregated into one large file. As a result, the content...]]></description>
  <dc:date>2018-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure">
  <title><![CDATA[Deep Understanding of a Document's Structure]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure</link>
  <description><![CDATA[Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews, and discussion forum discussions. Understanding and extracting information from large documents like legal briefs, proposals, technical manuals, and research articles is still a challenging task. We describe a framework that can analyze a large document and help people to locate desired information in it. We aim to automatically identify and classify different sections o...]]></description>
  <dc:date>2017-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum entries. Understanding and extracting information from large documents like legal briefs, proposals, technical manuals and research articles is still a challenging task. We describe a framework that can analyze a large document and help people to know where a particular information is in that document. We aim to automatically identify and classify sem...]]></description>
  <dc:date>2017-09-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation">
  <title><![CDATA[Deep Representation of Lyrical Style and Semantics for Music Recommendation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation</link>
  <description><![CDATA[In an increasingly mobile and connected world, digital music consumption has rapidly increased. More recently, faster and cheaper mobile bandwidth has given the average mobile user the potential to access large troves of music through streaming services like Spotify and Google Music that boast catalogs with tens of millions of songs. At this scale, effective music recommendation is an important part of user experience and music discovery. Collaborative filtering (CF), a popular technique used...]]></description>
  <dc:date>2017-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/744/Poster-Classifying-primary-outcomes-in-rheumatoid-arthritis-Knowledge-discovery-from-clinical-trial-metadata">
  <title><![CDATA[Poster: Classifying primary outcomes in rheumatoid arthritis: Knowledge discovery from clinical trial metadata]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/744/Poster-Classifying-primary-outcomes-in-rheumatoid-arthritis-Knowledge-discovery-from-clinical-trial-metadata</link>
  <description><![CDATA[Early prediction of treatment outcomes in RA clinical trials is critical for both patient safety and trial success. We hypothesize that an approach employing metadata of clinical trials could provide accurate classification of primary outcomes before trial implementation. We retrieved RA clinical trials metadata from ClinicalTrials.gov. Four quantitative outcome measures that are frequently used in RA trials, i.e., ACR20, DAS28, and AE/SAE, were the classification targets in the model. Classi...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud">
  <title><![CDATA[Building a Mobile Applications Knowledge Base for the Linked Data Cloud]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud</link>
  <description><![CDATA[The number of mobile applications (apps) in major app stores exceeded one million in 2013. While app stores provide a central point for storing app metadata, they often impose restrictions on the access to this information thus limiting the potential to develop tools to search, recommend, and analyze app information. A few projects have circumvented these limitations and managed to create a dataset with a substantial number of apps. However, accessing this information, especially for the purp...]]></description>
  <dc:date>2015-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/634/Semantics-and-Ontologies-For-EarthCube">
  <title><![CDATA[Semantics and Ontologies For EarthCube]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/634/Semantics-and-Ontologies-For-EarthCube</link>
  <description><![CDATA[Semantic technologies and ontologies play an increasing role in scientiﬁc workﬂow systems and knowledge infrastructures. While ontologies are mostly used for the semantic annotation of metadata, semantic technologies enable searching metadata catalogs beyond simple keywords, with some early evidence of semantics used for data translation. However, the next generation of distributed and interdisciplinary knowledge infrastructures will require capabilities beyond simple subsumption reasonin...]]></description>
  <dc:date>2012-09-18</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/82/foafPub-dataset">
  <title><![CDATA[foafPub dataset]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/82/foafPub-dataset</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.

foafPub is a dataset of information extracted from FOAF files
collected during the Fall of 2004.  The data represents 7118 foaf
documents collected from 2044 sites (identified by their symbolic IP
address). A total of 201,612 RDF triples with provenance ...]]></description>
  <dc:date>2005-02-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-">
  <title><![CDATA[RDF Web service v1.0 (java servlet)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0">
  <title><![CDATA[RDF123 java application v1.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-">
  <title><![CDATA[RDF123 linux application v1.0 (With Java VM self-contained)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation">
  <title><![CDATA[RDF123 presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph. The spreadsheets must consist of a single table with or without header rows. Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation. The template can map a spreadsheet cell to a new RDF node or to a literal value. Labels o...]]></description>
  <dc:date>2007-07-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-">
  <title><![CDATA[RDF123 windows application v1.0 (With Java VM self-contained)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/31/SEMDIS-Knowledge-Discovery-in-the-Semantic-Web">
  <title><![CDATA[SEMDIS: Knowledge Discovery in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/31/SEMDIS-Knowledge-Discovery-in-the-Semantic-Web</link>
  <description><![CDATA[Our research will focus on designing, prototyping, and evaluating a system called SemDIS (Semantic Discovery) that supports indexing and querying of complex semantic relationships and is driven by notions of information trust and provenance and models of hypotheses and arguments under investigation. This poster was prepared for the June 2004 NSF ITE grantees meeting for the project
ITR-SemDIS: Discovering Complex Relationships in the Semantic Web..

Research in search techniques was a crit...]]></description>
  <dc:date>2004-06-13</dc:date>
 </item>
</rdf:RDF>
