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 <channel rdf:about="http://ebiquity.umbc.edu/events/select/search/html/613a343a7b693a303b643a303b693a313b693a303b693a323b693a303b693a333b733a303a22223b7d/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[UMBC ebiquity research group RSS Event Feed]]></title>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/330/Map-Reduce-for-Scientific-Applications"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/329/Pixels-to-Teraflops-30-Years-of-GPUs"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/328/Web-Application-Session-Attacks-Cause-Effect-and-Remediation"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/326/A-Multiagent-Based-Synergistic-Approach-for-Software-Fault-Tolerance"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/324/Security-Through-Policy-and-Trust-in-Mobile-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/323/A-Hybrid-Approach-to-Unsupervised-Relation-Discovery-via-Linguistic-Analysis-Entropy-based-Label-Ranking-and-Semantic-Typing"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/322/Towards-a-Policy-Infrastructure-for-Data-Sharing-to-Enable-Scientific-Research-with-Privacy-Guarantees"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/330/Map-Reduce-for-Scientific-Applications">
  <title><![CDATA[Map Reduce for Scientific Applications]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/330/Map-Reduce-for-Scientific-Applications</link>
  <description><![CDATA[In this week's Ebiquity Lab meeting David Chapman will talk about Map Reduce for Scientific Applications
			
Abstract:
Map Reduce is a programming paradigm popularized by google for very large
set computations.  It is a meta algorithm generic enough to solve a large
number of problems.  However, unless care is taken, this generality can
easily come at the price of a significant performance drop.  Current
infrastructure, such as Apache Hadoop, offers a practical solution for
many data ...]]></description>
  <dc:date>2009-11-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/329/Pixels-to-Teraflops-30-Years-of-GPUs">
  <title><![CDATA[Pixels to Teraflops: 30 Years of GPUs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/329/Pixels-to-Teraflops-30-Years-of-GPUs</link>
  <description><![CDATA[MC2 Brown Bag Seminar

This is a talk on the history of programmable graphics hardware.  Highlights will include the earliest graphics systems, the earliest programmable graphics systems (including PixelFlow) some of the first attempts at programmable pipelines on consumer GPUs using register combiners and multiple passes, leading all the way up to early GPGPU programs.  We will see how this lead up to a shift in the goal for GPU manufacturers and how demand for these new types of computati...]]></description>
  <dc:date>2009-11-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research">
  <title><![CDATA[We KnowItAll: lessons from a Quarter Century  of Web Extraction Research]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research</link>
  <description><![CDATA[For the last quarter century (measured in person years), the KnowItAll project has investigated information extraction at Web scale. If successful, this effort will begin to address the long-standing "Knowledge Acquisition Bottleneck" in Artificial Intelligence, and will enable a new generation of search engines that extract and synthesize information from text to answer complex user queries. To date, we have generalized information extraction methods to process arbitrary Web text, to handle ...]]></description>
  <dc:date>2009-11-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/328/Web-Application-Session-Attacks-Cause-Effect-and-Remediation">
  <title><![CDATA[Web Application Session Attacks - Cause, Effect and Remediation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/328/Web-Application-Session-Attacks-Cause-Effect-and-Remediation</link>
  <description><![CDATA[In this week's Ebiquity Lab meeting Vivek Relan[1] from the Cyber Defense Lab[2] at UMBC will talk about "Web Application Session Attacks - Cause, Effect and Remediation"  

Abstract:
An increase in the usage of Web application is directly related to an increase in number of security incidents for them. Most of the  Web sites have vulnerabilities that could lead to the theft of sensitive corporate data such as credit card information and customer's list. These threats originate because of ...]]></description>
  <dc:date>2009-11-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/327/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies">
  <title><![CDATA[A Schema-Based Approach Combined with Inter-Ontology Reasoning to  Construct Consensus Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/327/A-Schema-Based-Approach-Combined-with-Inter-Ontology-Reasoning-to-Construct-Consensus-Ontologies</link>
  <description><![CDATA[As the Semantic Web gains attention as the next generation of the Web, the issue of reconciling different views of independently developed and exposed data sources becomes increasingly important. Ontology integration serves as a basis for solving this problem. In this paper, we describe an approach to construct a consensus ontology from numerous, independently designed ontologies.

Our method has the following features: i) the matching is carried out at the schema level; ii) the alignment o...]]></description>
  <dc:date>2009-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/326/A-Multiagent-Based-Synergistic-Approach-for-Software-Fault-Tolerance">
  <title><![CDATA[A Multiagent-Based Synergistic Approach for Software Fault Tolerance]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/326/A-Multiagent-Based-Synergistic-Approach-for-Software-Fault-Tolerance</link>
  <description><![CDATA[As computing becomes pervasive, there are increasing opportunities for the use of collaborative multiagent systems that make use of multiple sources of knowledge for validation, accuracy, and reliability improvement purposes. Application areas include multiple classifier systems, multiple sensor fusion, and redundancy-based software fault tolerant systems. The focus of this work is on the area of software fault tolerance. Most of the practical implementations of software fault tolerant strate...]]></description>
  <dc:date>2009-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/324/Security-Through-Policy-and-Trust-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Security Through Policy and Trust in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/324/Security-Through-Policy-and-Trust-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[Abstract:

Mobile ad hoc networks (MANETs) are susceptible to various node misbehaviors due to their unique features, such as highly dynamic network topology, rigorous power constraints and error-prone transmission media.Significant research efforts have been made to address the problem of misbehavior detection as well as trust management for MANETs. However,little research work has been done to distinguish truly malicious behaviors from the faulty behaviors. Both the malicious behaviors an...]]></description>
  <dc:date>2009-11-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/323/A-Hybrid-Approach-to-Unsupervised-Relation-Discovery-via-Linguistic-Analysis-Entropy-based-Label-Ranking-and-Semantic-Typing">
  <title><![CDATA[A Hybrid Approach to Unsupervised Relation Discovery via Linguistic Analysis, Entropy-based Label Ranking and Semantic Typing]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/323/A-Hybrid-Approach-to-Unsupervised-Relation-Discovery-via-Linguistic-Analysis-Entropy-based-Label-Ranking-and-Semantic-Typing</link>
  <description><![CDATA[Zareen Syed will talk about "A Hybrid Approach to Unsupervised Relation Discovery via Linguistic Analysis, Entropy-based Label Ranking and Semantic Typing" 

ABSTRACT:
There are today two main approaches in Information Extraction systems to extract entities and relations between them from text: a knowledge engineering approach which requires grammars to be hand crafted to express the rules for the system, a quite laborious process; an automatic training approach which requires the hand ann...]]></description>
  <dc:date>2009-10-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/322/Towards-a-Policy-Infrastructure-for-Data-Sharing-to-Enable-Scientific-Research-with-Privacy-Guarantees">
  <title><![CDATA[Towards a Policy Infrastructure for Data Sharing to Enable Scientific Research with Privacy Guarantees]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/322/Towards-a-Policy-Infrastructure-for-Data-Sharing-to-Enable-Scientific-Research-with-Privacy-Guarantees</link>
  <description><![CDATA[Palanivel Kodeswaran will talk about his work he did at Microsoft research this summer.  

Abstract: 
In this talk, we will present our work in building a policy infrastructure for data sharing with the goal of enabling scientific research, while preserving individual privacy. We will present motivating application scenarios that could be enabled with the growing number of user datasets such as social networks, health vault etc. These datasets  contain sensitive user information and suffic...]]></description>
  <dc:date>2009-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts">
  <title><![CDATA[Data Integration Using Correlated Concepts]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts</link>
  <description><![CDATA[Lushan Han will talk about "Data Integration Using Correlated Concepts". 

Abstract: 
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. It is difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. While ontologies have been developed for various branches of the sciences, their use remains limited. We describe ...]]></description>
  <dc:date>2009-10-13</dc:date>
 </item>
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