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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=joins">
  <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=joins]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for joins]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies"/>
      <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/315/PhD-Proposal-A-Generic-Data-Model-Pivot-Query-for-Flexible-Adaptive-and-Agile-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/624/-I-seek-fb-me-Identifying-Users-across-Multiple-Online-Social-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/545/Group-Centric-Information-Sharing-using-Hierarchical-Models"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/158/Collaborative-Joins-in-a-Pervasive-Computing-Environment"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/50/Collaborative-Joins-in-a-Pervasive-Computing-Environment"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies">
  <title><![CDATA[Combining NoSQL Products to Further Enhance Semantic Technologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies</link>
  <description><![CDATA[AllegroGraph is a fully ACID and highly scalable RDF triplestore that
can be programmed with compiled, server side JavaScript. This allows
programmers to easily manipulate individual triples and create their
own intelligent graph or reasoning algorithms. However, one wish that
has been expressed by many programmers is to work on the level of
objects instead of individual triples, where an object would be
defined as all the triples with the same subject. So we created a
MongoDB interfac...]]></description>
  <dc:date>2011-10-19</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/315/PhD-Proposal-A-Generic-Data-Model-Pivot-Query-for-Flexible-Adaptive-and-Agile-Systems">
  <title><![CDATA[PhD Proposal :  A Generic Data Model Pivot Query for Flexible, Adaptive, and Agile Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/315/PhD-Proposal-A-Generic-Data-Model-Pivot-Query-for-Flexible-Adaptive-and-Agile-Systems</link>
  <description><![CDATA[Fuesane Cheng's Ph.D. Preliminary Exam: 

Abstract: 
Generically modeled data structure has been widely used  in the development of vertical application software systems and in the usage of XML and RDF for its flexibility, adaptability, and agility to support corporate business’ competition on speed to market for product and service development. However, generic data models require multiple self-joins on a single table with large volume of data, causing slow performance for Business inte...]]></description>
  <dc:date>2009-09-29</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/paper/html/id/624/-I-seek-fb-me-Identifying-Users-across-Multiple-Online-Social-Networks">
  <title><![CDATA[@I seek 'fb.me': Identifying Users across Multiple Online Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/624/-I-seek-fb-me-Identifying-Users-across-Multiple-Online-Social-Networks</link>
  <description><![CDATA[An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and therefore can manipulate multiple aspects of it.  With no global identifier to mark her presence uniquely in the online domain, her online identities remain unlinked, isolated and dificult to sear...]]></description>
  <dc:date>2013-05-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/545/Group-Centric-Information-Sharing-using-Hierarchical-Models">
  <title><![CDATA[Group Centric Information Sharing using Hierarchical Models]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/545/Group-Centric-Information-Sharing-using-Hierarchical-Models</link>
  <description><![CDATA[Traditional security policies are often based on the concept of “need to know” and are typified by predefined and often rigid specifications of which principals and roles are 
pre-authorized to access the information. A recommendations of the 9/11 commission 
was to find ways to move from this traditional perspective toward one that 
emphasizes the “need to share”.  Ravi Sandhu and his colleagues have developed the 
Group centric secure information sharing model (gSIS) as a new mo...]]></description>
  <dc:date>2011-05-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/158/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/158/Collaborative-Joins-in-a-Pervasive-Computing-Environment</link>
  <description><![CDATA[We propose a collaborative query processing protocol based on the
principles of Contract Nets. Locating and obtaining context-sensitive
information in a mobile environment has always been a
challenge. Pervasive computing environments only exacerbate this
issue. In addition to operating on limited computing and battery
resources, mobile devices cannot always rely on the help of a
proxy-based wired infrastructure. Instead, a collaboration among peer
mobile devices becomes necessary. Coll...]]></description>
  <dc:date>2005-04-01</dc:date>
 </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>
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