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 <channel rdf:about="http://ebiquity.umbc.edu/tag/database/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/database/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/14/Data-Mining"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/50/Collaborative-Joins-in-a-Pervasive-Computing-Environment"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/74/Database-Semanticizer-Presentation"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/242/DB-Infrastructure-for-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers"/>
    <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/25/Open-Source-XML-Databases-Xindice-and-eXist"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
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  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
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 <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>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/50/Collaborative-Joins-in-a-Pervasive-Computing-Environment">
  <title><![CDATA[Collaborative Joins in a Pervasive Computing Environment]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/50/Collaborative-Joins-in-a-Pervasive-Computing-Environment</link>
  <description><![CDATA[Locating and obtaining context sensitive information in a mobile environment has always been a challenge.
This is especially true for pervasive computing environments where in addition to limited computing and battery
resources, mobile devices cannot always rely on the help of a proxy-based wired infrastructure. Rather, a collaboration
among peer mobile entities is required. It allows entities to obtain data that may be otherwise inaccessible due
to nature of the environment and to reduce...]]></description>
  <dc:date>2003-08-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-">
  <title><![CDATA[The Intelligent Database Interface,]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-</link>
  <description><![CDATA[The Intelligent Database Interface IDI is a cache-based interface that is designed to provide Articial Intelligence systemswith ecient access tooneormore databases on one or more remote database management systems DBMSs .  It can be used to interface with a wide variety of dierent DBMSs with little or no modication since SQL is used to communicate with remote DBMSs and the implementation of the IDI provides a high degree of portability. The query language of the IDI is a restricted subset of ...]]></description>
  <dc:date>1990-08-01</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/242/DB-Infrastructure-for-the-Semantic-Web">
  <title><![CDATA[DB Infrastructure for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/242/DB-Infrastructure-for-the-Semantic-Web</link>
  <description><![CDATA[AN overview presentation by UMBC alumna Melli Annamalai on support for semantic web languages in Orable 10g and 11g.]]></description>
  <dc:date>2007-06-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers">
  <title><![CDATA[Predicting Appropriate Semantic Web Terms from Words and Table Headers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers</link>
  <description><![CDATA[We are developing an innovative system which takes a set of English words and searches among the ontologies available on the Semantic Web to find the best schemas to encode information associated with the with the words. In other words, a schema written flexibly with ordinary words can be mapped to its canonical form in RDF.

By using the system, the ontology network will gradually evolves, driven by people’s own knowledge and convention, toward a network of concepts resembling those in t...]]></description>
  <dc:date>2008-12-09</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/25/Open-Source-XML-Databases-Xindice-and-eXist">
  <title><![CDATA[Open Source XML Databases: Xindice and eXist]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/25/Open-Source-XML-Databases-Xindice-and-eXist</link>
  <description><![CDATA[The talk will present an overview of two popular Open Source databases
Xindice (from Apache Group) and eXist. The introductory part will provide
some background information about the advantages and disadvantages of
using XML databases in general as opposed to relational databases.
Additionally technologies used to access and manipulate XML data like
XPath, XQuery and XUpdate will be very briefly described. The remaining
parts of the presentation will provide a summary of experiences gai...]]></description>
  <dc:date>2004-04-19</dc:date>
 </item>
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