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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/292/Data-Provenance-Management-for-Earth-Science-Reproducibility"/>
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 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference">
  <title><![CDATA[ACM SIGMOD/PODS 2004 Conference]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference</link>
  <description><![CDATA[The annual ACM SIGMOD conference is a leading forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. We invite the submission of original research contributions and industrial papers, as well as proposals for panels, tutorials, and demonstrations. We encourage submissions relating to all aspects of data management defined broadly, and particularly encourage work on topics of emerging interest in ...]]></description>
  <dc:date>2004-06-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue">
  <title><![CDATA[Is your personal data at risk? App analytics to the rescue]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue</link>
  <description><![CDATA[According to Virustotal, a prominent virus and malware tool, the Google Play Store has a few thousand apps from major malware families. Given such a revelation, access control systems for mobile data management, have reached a state of critical importance. We propose the development of a system which would help us detect the pathways using which user's data is being stolen from their mobile devices. We use a multi layered approach which includes app meta data analysis, understanding code patt...]]></description>
  <dc:date>2015-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/442/Cloud-based-Active-Archiving-Solution-for-Databases">
  <title><![CDATA[Cloud based Active Archiving Solution for Databases]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/442/Cloud-based-Active-Archiving-Solution-for-Databases</link>
  <description><![CDATA[In the second talk of the UMBC ACM Student Chapter's Tech Talk Series, ACM Distinguished Speaker Dr. Mukesh Mohania will visit UMBC and talk about "Cloud based Active Archiving Solution for Databases".

Cloud computing offers an exciting opportunity to bring on-demand applications to customers and is being used for delivering hosted services over the Internet and/or processing massive amount of data for business intelligence. In this talk, we will discuss the architecture of cloud computing...]]></description>
  <dc:date>2012-11-30</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/429/Correlation-Aware-Optimizations-for-Analytic-Databases">
  <title><![CDATA[Correlation Aware Optimizations for Analytic Databases]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/429/Correlation-Aware-Optimizations-for-Analytic-Databases</link>
  <description><![CDATA[Recent years have seen that the analysis of large data-sets is crucially important in a wide range of business, governmental, and scientific applications. For example, research projects in astronomy need to analyze petabytes of image data taken from telescopes. Providing a fast and scalable analytical data management system for such users has become increasingly important.
The major bottlenecks for analytics on such big data are disk- and network-I/O. Because the data is too large to fit in ...]]></description>
  <dc:date>2012-03-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/248/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Trust-based Data Management in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/248/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[The problem of data management has been studied widely in the field
of mobile ad-hoc networks and pervasive computing. An issue is that
finding the required data depends on chance encounter with the
source of data. Most existing research take the semantics of data
into account while caching data onto mobile devices from the wired
sources. In this work, we propose that the mobile devices decide
what to cache based on the queries they encounter. The scheme
involves a distributed techniqu...]]></description>
  <dc:date>2008-07-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases</link>
  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management.
It provides the means for computerized collection, organization and retrieval
of knowledge. Due to growth in deployment of sensors, we encounter many scenarios
where data is constantly flowing between sensors and applications. The volume of data
produced is large, so is the rate of the data-flow. In such scenarios, knowledge extraction
boils down to finding useful information i.e. detecting events ...]]></description>
  <dc:date>2007-08-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/161/Manufacturing-Metrology-and-Standards-for-the-HealthCare-Enterprise">
  <title><![CDATA[Manufacturing Metrology and Standards for the HealthCare Enterprise]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/161/Manufacturing-Metrology-and-Standards-for-the-HealthCare-Enterprise</link>
  <description><![CDATA[Spending on healthcare in the United States was about 13.2% of the GDP in 2000, which is $1.3 trillion, and continues to grow at the rate of 7.3% per year. This amount will reach $2.8 trillion dollars by 2011 (around 17% of the GDP). Healthcare and manufacturing share many similar organizational, technological and informational issues. Thus, the healthcare industry as a whole is a customer for the metrology, standard-setting support and technology approaches and solutions that our laboratory ...]]></description>
  <dc:date>2006-06-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/83/Ph-D-Proposal-TrueBahn-A-Trustworthy-Data-Management-Framework-for-Pervasive-Environments">
  <title><![CDATA[Ph.D. Proposal: TrueBahn - A Trustworthy Data Management Framework for Pervasive Environments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/83/Ph-D-Proposal-TrueBahn-A-Trustworthy-Data-Management-Framework-for-Pervasive-Environments</link>
  <description><![CDATA[Emerging low power wireless technologies, processors, and abundant storage are enabling devices with very small form factors to host complex services. Personal mobile devices are serving multi-functional roles, from location tracking (GPS) to micro-transactions (smart-cards). Continuing proliferation of such devices will be manifested in resource-rich environments, where information is available locally and directly -- via wireless means, instead of (or in addition to) delivery over infrastru...]]></description>
  <dc:date>2005-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/84/Autonomy-and-Collaboration-in-Mobile-Data-Management">
  <title><![CDATA[Autonomy and Collaboration in Mobile Data Management]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/84/Autonomy-and-Collaboration-in-Mobile-Data-Management</link>
  <description><![CDATA[Emerging low power wireless technologies, processors, and abundant storage are enabling devices with very small form factors to host complex services. Personal mobile devices are serving multi-functional roles, from location tracking (GPS) to micro-transactions (smart-cards). Continuing proliferation of such devices will be manifested in resource-rich environments, where information is available locally and directly -- via wireless means, instead of (or in addition to) delivery over infrastru...]]></description>
  <dc:date>2005-03-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/86/Some-Musings-on-Privacy-and-Security-in-Data-Management">
  <title><![CDATA[Some Musings on Privacy and Security in Data Management]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/86/Some-Musings-on-Privacy-and-Security-in-Data-Management</link>
  <dc:date>2005-02-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing">
  <title><![CDATA[UMBC and IBM collaborate on autonomic computing]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing</link>
  <description><![CDATA[University of Maryland, Baltimore County and IBM Collaborate on 
Autonomic Computing Research

BALTIMORE, February 24, 2005 - IBM today announced a new Shared University Research (SUR) grant awarded a group of faculty researchers of the eBiquity research group at the University of Maryland, Baltimore County to help build a major new center for high performance computational research. 

This SUR grant is part of the latest series of Shared University Research (SUR) awards, bringing IBM's ...]]></description>
  <dc:date>2005-02-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/10/Three-new-PhDs">
  <title><![CDATA[Three new PhDs]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/10/Three-new-PhDs</link>
  <description><![CDATA[Three ebiquity Ph.D students defended their dissertation
research and graduated in the Spring of 2004.  Doctors Filip
Perich, Jeff
Undercoffer and Youyong
Zou were hooded and received their diplomas at the UMBC
graduation on May 19, 2004.

 Dr. Filip Perich investigated data management problems
in pervasive computing environments, with the support of
National Science Foundation. He developed and validated
protocols for data discovery, routing, querying,
transactional support, and ...]]></description>
  <dc:date>2004-05-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/11/Dynamic-Negotiation-Agents-in-Mobile-Computing">
  <title><![CDATA[Dynamic Negotiation Agents in Mobile Computing]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/11/Dynamic-Negotiation-Agents-in-Mobile-Computing</link>
  <description><![CDATA[A three year project funded by NSF (award number 0070802) directed by PI Anupam Joshi and CO-PIs Tim Finin, and Yelena Yesha and will be carried out 2000-2003 with $170,000 in funding from the NSF
CCR Division of Computer-communication research under program officer Yuan-Chieh Chow.

With the advent of third and fourth generation wireless infrastructure, and the simultaneous emergency of pervasive connectivity for all devices based on bluetooth like systems and ad-hoc networks, a new vista...]]></description>
  <dc:date>2002-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/16/MagicWeaver-An-Agent-Based-Simulation-Framework-For-Wireless-Sensor-Networks">
  <title><![CDATA[MagicWeaver: An Agent Based Simulation Framework For Wireless Sensor Networks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/16/MagicWeaver-An-Agent-Based-Simulation-Framework-For-Wireless-Sensor-Networks</link>
  <description><![CDATA[There is a growing interest in the research community towards a paradigm in which computing is embedded into our daily lives. Everyday objects shall act as computing devices, enriching user experience and enhancing the environments in which we live. Sensor Networks are a step in this direction. Sensor Network research is still in its infancy, with research spanning from hardware to communication to data management and to software engineering principles. To build a strong foundation on the pri...]]></description>
  <dc:date>2001-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/102/MGI-Semantic-Data">
  <title><![CDATA[MGI Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/102/MGI-Semantic-Data</link>
  <description><![CDATA[The Materials Genome Initiative can benefit from the development and use of ontologies and semantic data representations for the materials science and engineering domain. These can play an important role in an infrastructure that will accelerate advanced materials discovery and deployment.  Specifically, they will support better and more intelligent data management, analysis, integration, and sharing.  Together, these new semantic capabilities will help to leverage existing Federal investment...]]></description>
  <dc:date>2013-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments">
  <title><![CDATA[MoGATU: Data Management in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The past few years have seen significant work in mobile data management, typically based on the client/proxy/server model. Mobile/wireless devices are treated as clients that are data consumers only, while data sources are on servers that typically reside on the wired network. With the advent of pervasive computing environments, an alternative scenario arises where mobile devices gather and exchange data from not just wired sources, but also from their ethereal environment and one another. Th...]]></description>
  <dc:date>2001-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/5/Numi-Using-Collaborative-Agents-to-Enrich-Service-Environments">
  <title><![CDATA[Numi: Using Collaborative Agents to Enrich  Service Environments]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/5/Numi-Using-Collaborative-Agents-to-Enrich-Service-Environments</link>
  <description><![CDATA[A network of infostations offering high bandwidth islands of data connectivity has often been suggested as a viable alternative to cellular WAN for providing network connectivity for mobile devices. Current data management models proposed for such networks treat these infostations mainly as passive entities that offer devices in range, access to needed information. In this paper, we propose a novel approach wherein infostations actively participate in delivering content even to devices that a...]]></description>
  <dc:date>2002-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange">
  <title><![CDATA[TRUCE: TRUsted Compliance Enforcement Service for Secure Health Data Exchange]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange</link>
  <description><![CDATA[Organizations are increasingly sharing large volumes of sensitive Personally Identifiable Information (PII), like health records, with each other to better manage their services. Protecting PII data has become increasingly important in today's digital age, and several regulations have been formulated to ensure the secure exchange and management of sensitive personal data. However, at times some of these regulations are at loggerheads with each other, like the Health Insurance Portability and ...]]></description>
  <dc:date>2025-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices">
  <title><![CDATA[A Study of the Landscape of Privacy Policies of Smart Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices</link>
  <description><![CDATA[As the adoption of smart devices continues to permeate all aspects of our lives, concerns surrounding user privacy have become more pertinent than ever before. While privacy policies define the data management practices of their manufacturers, previous work has shown that they are rarely read and understood by users. Hence, automatic analysis of privacy policies has been shown to help provide users with appropriate insights. Previous research has extensively analyzed privacy policies of websi...]]></description>
  <dc:date>2023-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/743/Collaborative-data-mining-for-clinical-trial-analytics">
  <title><![CDATA[Collaborative data mining for clinical trial analytics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/743/Collaborative-data-mining-for-clinical-trial-analytics</link>
  <description><![CDATA[his paper proposes a collaborative data mining technique to provide multi-level analysis from clinical trials data. Clinical trials for clinical research and drug development generate large amount of data. Due to dispersed nature of clinical trial data, it remains a challenge to harness this data for analytics. In this paper, we propose a novel method using master data management (MDM) for analyzing clinical trial data, scattered across multiple databases, through collaborative data mining. O...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/654/Cloud-Data-Management-Policies-Security-and-Privacy-Checklist">
  <title><![CDATA[Cloud Data Management Policies: Security and Privacy Checklist]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/654/Cloud-Data-Management-Policies-Security-and-Privacy-Checklist</link>
  <description><![CDATA[Organizations have complex enterprise data policies, as well as legal and statutory constraints, that require compliance. Such policies are today enforced on internal resources that are completely controlled by the organization. On moving to a cloud based solution, the organization has to often hand over this control to the service provider. Hence, acquiring cloud services requires significant human intervention and negotiation -- people have to check whether a provider’s service attributes...]]></description>
  <dc:date>2014-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/655/USM-Community-Cloud-VCL-based-Academic-Cloud">
  <title><![CDATA[USM Community Cloud: VCL-based Academic Cloud]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/655/USM-Community-Cloud-VCL-based-Academic-Cloud</link>
  <description><![CDATA[In an educational and/or research environment, cloud computing systems must be exceptionally flexible and adaptable because they are serving a wide spectrum of users including students, faculty, researchers, and staff. An academic cloud must be designed as an integrated tool that delivers computational services capable of supporting everyone from a novice user up to the most sophisticated expert researcher. Most of the current commercial cloud services were not designed for academic environme...]]></description>
  <dc:date>2014-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases</link>
  <description><![CDATA[With the advent of pervasive computing, we encounter many scenarios where data is constantly flowing between sensors and applications.  The volume of data produced is large, and so is the rate of the data flow.  In such scenarios, knowledge extraction boils down to finding useful information, i.e., detecting events of interest. Typical use cases where event detection is of paramount importance are surveillance, tracking, telecommunications data management, disease outburst detection, and envi...]]></description>
  <dc:date>2008-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/409/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Trust-based Data Management in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/409/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[The problem of data management has been studied widely in the field of mobile ad-hoc networks and pervasive computing. An issue is that
finding the required data depends on chance encounter with the source of data. Most existing research take the semantics of data into account while caching data onto mobile devices from the wired sources. In this work, we propose that the mobile devices decide what to cache based on the queries they encounter. The scheme involves a distributed technique for ...]]></description>
  <dc:date>2008-07-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/398/Query-Distribution-Estimation-and-Predictive-Caching-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Query Distribution Estimation and Predictive Caching in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/398/Query-Distribution-Estimation-and-Predictive-Caching-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[The problem of data management has been studied widely in the field
of mobile ad-hoc networks and pervasive computing. The issue
addressed is that finding the data required by a device depends on
chance encounter with the source of data. Most existing research has
focused on specifying the required data by specifying the user or
application intentions. These approaches take the semantics of data
into account while caching data onto mobile devices from the wired
sources. We propose a sc...]]></description>
  <dc:date>2008-06-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases</link>
  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management. It provides the means for computerized collection, organization and retrieval of knowledge. Due to growth in deployment of sensors, we encounter many scenarios where data is constantly flowing between sensors and applications. The volume of data produced is large, so is the rate of the data-flow. In such scenarios, knowledge extraction boils down to finding useful information i.e. detecting events of in...]]></description>
  <dc:date>2007-08-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/306/A-Data-Intensive-Reputation-Management-Scheme-for-Vehicular-Ad-Hoc-Networks">
  <title><![CDATA[A Data Intensive Reputation Management Scheme for Vehicular Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/306/A-Data-Intensive-Reputation-Management-Scheme-for-Vehicular-Ad-Hoc-Networks</link>
  <description><![CDATA[In vehicular ad hoc networks individual vehicles can help each
other locate resources and establish trustworthiness under highly dynamic 
conditions, lacking any centralized trust authority. To ascertain
the accuracy and reliability of data aggregated in a distributed manner,
we present a reputation management system for such networks that enables 
devices to quickly adapt to changing local conditions and provides a 
bootstrapping method for establishing trust relationships where only ...]]></description>
  <dc:date>2006-07-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/292/Data-Provenance-Management-for-Earth-Science-Reproducibility">
  <title><![CDATA[Data Provenance Management for Earth Science Reproducibility]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/292/Data-Provenance-Management-for-Earth-Science-Reproducibility</link>
  <description><![CDATA[Presentation slides for talk.]]></description>
  <dc:date>2010-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/2/MoGATU">
  <title><![CDATA[MoGATU]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/2/MoGATU</link>
  <description><![CDATA[MoGATU's web site]]></description>
  <dc:date>2003-10-16</dc:date>
 </item>
</rdf:RDF>
