<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
	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
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
	94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=sql">
  <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=sql]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for sql]]></description>
  <items>
    <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/315/PhD-Proposal-A-Generic-Data-Model-Pivot-Query-for-Flexible-Adaptive-and-Agile-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/289/Web-Security-Overview"/>
      <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/69/A-Multi-Purpose-Implementation-of-Mandatory-Access-Control-in-Relational-Database-Management-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/873/Extracting-Rich-Semantic-Information-about-Cybersecurity-Events"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/741/A-database-based-distributed-computation-architecture-with-Accumulo-and-D4M-An-application-of-eigensolver-for-large-sparse-matrix"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/745/SQL-like-big-data-environments-Case-study-in-clinical-trial-analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/514/Service-Oriented-Atmospheric-Radiances-SOAR-Gridding-and-Analysis-Services-for-Multisensor-Aqua-IR-Radiance-Data-for-Climate-Studies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-Integrating-AI-and-database-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/82/foafPub-dataset"/>
    </rdf:Seq>
  </items>
 </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/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/event/html/id/289/Web-Security-Overview">
  <title><![CDATA[Web Security Overview]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/289/Web-Security-Overview</link>
  <description><![CDATA[Since all organizations have web presence today, security of the web
applications is important. There is a variety of attacks (Cross Site
Scripting (XSS), SQL injection, Command Injections, Forced Browsing etc.)
that can be launched against web applications which we need to be aware of.
In this talk, I will cover Cross Site Scripting. I will also cover a
slightly advanced version of XSS, tools you could use to learn more about
XSS, tools that you can use to test your web applications fo...]]></description>
  <dc:date>2009-04-01</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/69/A-Multi-Purpose-Implementation-of-Mandatory-Access-Control-in-Relational-Database-Management-Systems">
  <title><![CDATA[A Multi-Purpose Implementation of  Mandatory Access Control in  Relational Database Management Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/69/A-Multi-Purpose-Implementation-of-Mandatory-Access-Control-in-Relational-Database-Management-Systems</link>
  <description><![CDATA[Mandatory Access Control (MAC) implementations in Relational Database Management Systems (RDBMS) have focused solely on Multilevel Security (MLS). MLS has posed a number of challenging problems to the database research community, and there has been an abundance of research work to address those problems. Unfortunately, the use of MLS RDBMS has been restricted to a few government organizations where MLS is of paramount importance such as the intelligence community and the Department of Defense...]]></description>
  <dc:date>2004-11-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks">
  <title><![CDATA[DAML / ITTalks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks</link>
  <description><![CDATA[DAML Tools for supporting Intelligent Information Annotation, Sharing and RetrievalWith the vast quantity of information now available on the Internet, there is a need to manage this information by marking it with a semantic language, such as DARPA Agent Markup Language (DAML), and using intelligent search engines and other tools, in conjunction with ontology-based matching, to provide better search results and data manipulation capabilities. The aim of the semantic web is to make the current...]]></description>
  <dc:date>2000-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/873/Extracting-Rich-Semantic-Information-about-Cybersecurity-Events">
  <title><![CDATA[Extracting Rich Semantic Information about Cybersecurity Events]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/873/Extracting-Rich-Semantic-Information-about-Cybersecurity-Events</link>
  <description><![CDATA[Articles about cybersecurity events like data breaches and ransomware attacks are common, both in general news and technical sources.  Automatically extracting structured information from these can provide valuable information to inform both human analysts and computer systems. In this paper we describe how cybersecurity events can be described via semantic schemas, examined through an initial set of five event types. Using a collection of 1,000 news articles annotated with these event types,...]]></description>
  <dc:date>2019-12-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/741/A-database-based-distributed-computation-architecture-with-Accumulo-and-D4M-An-application-of-eigensolver-for-large-sparse-matrix">
  <title><![CDATA[A database-based distributed computation architecture with Accumulo and D4M: An application of eigensolver for large sparse matrix]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/741/A-database-based-distributed-computation-architecture-with-Accumulo-and-D4M-An-application-of-eigensolver-for-large-sparse-matrix</link>
  <description><![CDATA[NoSQL distributed databases have been devised to tackle the challenges resulting from volume, velocity and variety of big data. Graph representation of datasets requires efficient distributed linear algebra operations for large sparse matrix constructed from big data. Storing the transformed matrix into the database not only speeds up the big data analysis process but also facilitates the computation because of indexing. The Hadoop based approach does not natively support iterative algorithms...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/745/SQL-like-big-data-environments-Case-study-in-clinical-trial-analytics">
  <title><![CDATA[SQL-like big data environments: Case study in clinical trial analytics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/745/SQL-like-big-data-environments-Case-study-in-clinical-trial-analytics</link>
  <description><![CDATA[Big Data deals with enormous volumes of complex and exponentially growing data sets from multiple sources. With rapid growth in technology, we are now able to generate immense amount of data in almost any field imaginable including physical, biological and biomedical sciences. With the diversity and amount of data in health care industry there is an increasing need to evaluate the components in big data frameworks and gauge their adaptability to analytics techniques. However, a key step in ad...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/514/Service-Oriented-Atmospheric-Radiances-SOAR-Gridding-and-Analysis-Services-for-Multisensor-Aqua-IR-Radiance-Data-for-Climate-Studies">
  <title><![CDATA[Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/514/Service-Oriented-Atmospheric-Radiances-SOAR-Gridding-and-Analysis-Services-for-Multisensor-Aqua-IR-Radiance-Data-for-Climate-Studies</link>
  <description><![CDATA[The Aqua spacecraft, launched on May 4, 2002, carries two well-calibrated independent infrared (IR) grating spectrometers Atmospheric Infrared Sounder (AIRS) and Moderate Resolution Imaging Spectrometer (MODIS), which have been continuously returning upwelling IR spectral radiance measurements for over five years. Based on an Aqua Sr. Project Review, estimates of available flight fuel, power, and orbital projections assess the life span of the Aqua satellite, and these two instruments, to be ...]]></description>
  <dc:date>2009-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-Integrating-AI-and-database-systems">
  <title><![CDATA[The Intelligent Database Interface: Integrating AI and database systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-Integrating-AI-and-database-systems</link>
  <description><![CDATA[The Intelligent Database Interface (IDI) is a cache-based interface that is designed to provide Artificial Intelligence systems with efficient access to one or more databases on one or more remote database management systems (DBMSs).  It can be used to interface with a wide variety of different DBMSs with little or no modification 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 rest...]]></description>
  <dc:date>1990-08-01</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/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>
</rdf:RDF>
