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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/proposal/?t=proposal">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/proposal/?t=proposal]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for proposal]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/3/ACM-SIGMOD-PODS-2004-Conference"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/411/Masters-Thesis-Research-Proposal-Dibyajyoti-Ghosh-and-Sumit-More"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/317/PhD-Proposal-Automatic-Domain-Adaptive-Sentiment-Analysis"/>
      <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/313/Dynamic-Domain-Adapting-Sentiment-Classifiers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/304/Creating-and-Exploiting-a-Web-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/298/Creating-and-exploiting-a-web-of-semantic-data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/6/SW-UBICOMP-INTEREST-SIG-formed"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/41/OWL-Rules-Language-Translator"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/903/Unfolding-the-Structure-of-a-Document-using-Deep-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/830/Understanding-and-representing-the-semantics-of-large-structured-documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/786/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/550/DC-Proposal-Automation-of-Service-Lifecycle-on-the-Cloud-by-Using-Semantic-Technologies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/551/DC-Proposal-Graphical-Models-and-Probabilistic-Reasoning-for-Generating-Linked-Data-from-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/535/Creating-and-Exploiting-a-Hybrid-Knowledge-Base-for-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/470/Creating-and-Exploiting-a-Web-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/12/A-Proposal-for-Pervasive-Computing-Standard-Ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/203/Akshay-Java-Ph-D-Proposal"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/138/Anand-s-Ph-D-proposal"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/95/Anand-s-Proposal-Defense-Presentation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/148/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Proposal"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/147/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Slides"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/267/Creating-and-exploiting-a-web-of-semantic-data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/76/Li-Ding-s-PhD-proposal"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web"/>
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 </channel>
 <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/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration">
  <title><![CDATA[Phd proposal: A Semantic Resolution Framework for Manufacturing Capability Data Integration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration</link>
  <description><![CDATA[Building flexible manufacturing supply chains requires interoperable and accurate manufacturing service capability (MSC) information of all supply chain participants. Today, MSC information, which is typically published either on the supplier’s web site or registered at an e-marketplace portal, has been shown to fall short of the interoperability and accuracy requirements. This issue can be addressed by annotating the MSC information using shared ontologies. However, ontology-based approach...]]></description>
  <dc:date>2013-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms">
  <title><![CDATA[Masters Thesis Research Proposal : Entity Linking and Disambiguation for Smartphone platforms]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms</link>
  <description><![CDATA[With increasing number of social networks, smartphones and applications there is a need of creating a framework for information integration across social networks and applications and create an unified record for each person/entity. The problem in information integration is that of entity disambiguation. It determines whether two objects in an ontology refer to same real world object. This will enable system to learn a large amount of contextual information. I will be extending]]></description>
  <dc:date>2011-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/411/Masters-Thesis-Research-Proposal-Dibyajyoti-Ghosh-and-Sumit-More">
  <title><![CDATA[Masters Thesis Research Proposal: Dibyajyoti Ghosh and Sumit More]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/411/Masters-Thesis-Research-Proposal-Dibyajyoti-Ghosh-and-Sumit-More</link>
  <description><![CDATA[In this week's lab meeting we will have Dibyajyoti Ghosh and Sumit More talk about the research they will be pursuing for their Masters Thesis.

Dibyajyoti will be talking about "Mobile application centric privacy policy preservation through context aware middleware in smartphones". His work is a part of the NSF granted Platys project. More specifically, he will be taking up Pramod Jagtap's work. 
 
Existing mobile operating systems primarily offer permission based policies at install tim...]]></description>
  <dc:date>2011-10-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik">
  <title><![CDATA[Masters Thesis Research Proposal: Amey Sane and Nikhil Puranik]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik</link>
  <description><![CDATA[In this week's lab meeting we will have Amey Sane and Nikhil Puranik talk about the research they will be pursuing for their Masters Thesis. 

Amey Sane will talk about "Context-aware Framework for modeling and prediction of User activities". His research work is part of ongoing Platys project. This project spans over the areas like mobile computing, Context-aware computing, security and privacy. My thesis work will be focused in the area of mobile-computing and Context-aware computing. In ...]]></description>
  <dc:date>2011-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs">
  <title><![CDATA[Citizen Science on the Social and Semantic Web, PhD proposal, Joel Sachs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs</link>
  <description><![CDATA[Ph.D. Dissertation Proposal

A question faced by semantic web developers is how much explicit semantics to include in their ontologies. A typical answer is that it depends on the use case, since different use cases demand different thicknesses for the semantic layer. This suggest several questions, including: What types of patterns in the rdf graph make a semantic layer &quot;thick&quot; or &quot;thin&quot;? What does it mean for an ontology to support a use case? and Can we create ontologi...]]></description>
  <dc:date>2011-09-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/317/PhD-Proposal-Automatic-Domain-Adaptive-Sentiment-Analysis">
  <title><![CDATA[PhD Proposal : Automatic	Domain Adaptive Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/317/PhD-Proposal-Automatic-Domain-Adaptive-Sentiment-Analysis</link>
  <description><![CDATA[Sentiment analysis is the automatic detection and measurement of opinions and emotions expressed in text segments by machines. However, sentiment is highly domain dependent. This is particularly troubling given the scale and variety of topics seen on the web. Providing sentiment analysis on the web requires more than the standard single domain machine learning approach. In this talk I describe a plan to overcome domain dependence by breaking down documents into three different types of signal...]]></description>
  <dc:date>2009-09-30</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/event/html/id/313/Dynamic-Domain-Adapting-Sentiment-Classifiers">
  <title><![CDATA[Dynamic Domain Adapting Sentiment Classifiers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/313/Dynamic-Domain-Adapting-Sentiment-Classifiers</link>
  <description><![CDATA[Justin Martineau will give us a
preview of his dissertation proposal.

Sentiment analysis is the automatic detection and measurement of sentiment
in text segments by machines. However, sentiment is highly domain dependent.
This is particularly troubling given the scale and variety of topics seen on
the web. Providing sentiment search on the web requires more than the
standard machine learning approach. In this talk I describe a plan to
overcome domain dependence by breaking down docum...]]></description>
  <dc:date>2009-09-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/304/Creating-and-Exploiting-a-Web-of-Semantic-Data">
  <title><![CDATA[Creating and Exploiting a Web of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/304/Creating-and-Exploiting-a-Web-of-Semantic-Data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet protocols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the evolution...]]></description>
  <dc:date>2009-08-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/298/Creating-and-exploiting-a-web-of-semantic-data">
  <title><![CDATA[Creating and exploiting a web of (semantic) data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/298/Creating-and-exploiting-a-web-of-semantic-data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext
system based on standard Internet protocols. The Web that resulted
fundamentally changed the ways we share information and services, both
on the public Internet and within organizations. That original
proposal contained the seeds of another effort that has not yet
blossomed: a Semantic Web designed to enable computer programs to
share and understand structured and semi-structured information
easily. We will review the ev...]]></description>
  <dc:date>2009-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006">
  <title><![CDATA[Looking back at the ebiquity research group's 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006</link>
  <description><![CDATA[Maybe it's a bit of a cliché, but this is the traditional time to look back on the past year and reflect on how things are going.  It has been an active productive year.  Here's a rundown of our past year by the numbers.

205,000 is the number of visits to the Ebiquity web site.  Our monthly page visits increased five fold over the year and we currently receive about 25,000 visits a month.


   



743 people have
registered as users of the Swoogle
semantic web search system.  By ...]]></description>
  <dc:date>2007-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/6/SW-UBICOMP-INTEREST-SIG-formed">
  <title><![CDATA[SW-UBICOMP-INTEREST SIG formed]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/6/SW-UBICOMP-INTEREST-SIG-formed</link>
  <description><![CDATA[Semantic Web in
UbiComp SIG (SW-UbiComp-SIG) is an open community for exploring
the use of Semantic Web technology in building Pervasive/Ubiquitous
Computing applications.  The group's current goal is to define a
standard ontology to support pervasive computing applications (see our
web site for the draft proposal). This includes OWL ontologies for
person, device, time, space, event, digital documents, and policy (for
security and privacy).  SW-UbiComp-SIG welcomes anyone who is
inter...]]></description>
  <dc:date>2003-12-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/41/OWL-Rules-Language-Translator">
  <title><![CDATA[OWL Rules Language Translator]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/41/OWL-Rules-Language-Translator</link>
  <description><![CDATA[Implement a translator from the proposed   OWL Rules Language  to one or more common rules languages such as Prolog and Jess.  Investigate the application to the Rei policy language. For more information, contact Tim FInin]]></description>
  <dc:date>2003-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/903/Unfolding-the-Structure-of-a-Document-using-Deep-Learning">
  <title><![CDATA[Unfolding the Structure of a Document using Deep Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/903/Unfolding-the-Structure-of-a-Document-using-Deep-Learning</link>
  <description><![CDATA[Understanding and extracting information from large documents, such as business opportunities, academic articles, medical documents, and technical reports, poses challenges not present in short documents. Such large documents may be multi-themed, complex, noisy, and cover diverse topics. We describe a framework that can analyze large documents and help people and computer systems locate desired information in them. We aim to automatically identify and classify different sections of documents ...]]></description>
  <dc:date>2019-09-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/830/Understanding-and-representing-the-semantics-of-large-structured-documents">
  <title><![CDATA[Understanding and representing the semantics of large structured documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/830/Understanding-and-representing-the-semantics-of-large-structured-documents</link>
  <description><![CDATA[Understanding large, structured documents such as scholarly articles, requests for proposals, or business reports is a complex and difficult task. It involves discovering a document's overall purpose and subject(s), understanding the function and meaning of its sections and subsections, and extracting low-level entities and facts about them. In this research, we present a deep learning-based document ontology to capture the general-purpose semantic structure and domain-specific semantic conce...]]></description>
  <dc:date>2018-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Current language understanding approaches are mostly focused on small documents, such as newswire articles, blog posts, and product reviews. Understanding and extracting information from large documents like legal documents, reports, proposals, technical manuals, and research articles is still a challenging task. Because the documents may be multi-themed, complex, and cover diverse topics. The content can be split into multiple files or aggregated into one large file. As a result, the content...]]></description>
  <dc:date>2018-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure">
  <title><![CDATA[Deep Understanding of a Document's Structure]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure</link>
  <description><![CDATA[Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews, and discussion forum discussions. Understanding and extracting information from large documents like legal briefs, proposals, technical manuals, and research articles is still a challenging task. We describe a framework that can analyze a large document and help people to locate desired information in it. We aim to automatically identify and classify different sections o...]]></description>
  <dc:date>2017-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum entries. Understanding and extracting information from large documents like legal briefs, proposals, technical manuals and research articles is still a challenging task. We describe a framework that can analyze a large document and help people to know where a particular information is in that document. We aim to automatically identify and classify sem...]]></description>
  <dc:date>2017-09-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/786/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/786/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Up-to-the-minute language understanding approaches are mostly focused on small documents such as newswire articles, blog posts, product reviews and discussion forum en- tries. Understanding and extracting information from large documents such as legal docu- ments, reports, proposals, technical manuals and research articles is still a challenging task. The reason behind this challenge is that the documents may be multi-themed, complex and cover diverse topics. For example, business opportuniti...]]></description>
  <dc:date>2017-04-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/550/DC-Proposal-Automation-of-Service-Lifecycle-on-the-Cloud-by-Using-Semantic-Technologies">
  <title><![CDATA[DC Proposal: Automation of Service Lifecycle on the Cloud by Using Semantic Technologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/550/DC-Proposal-Automation-of-Service-Lifecycle-on-the-Cloud-by-Using-Semantic-Technologies</link>
  <description><![CDATA[Managing virtualized services efficiently over the cloud is an open
challenge. We propose a semantically rich, policy-based framework to automate
the lifecycle of cloud services. We have divided the IT service lifecycle into the
five phases of requirements, discovery, negotiation, composition, and consumption.
We detail each phase and describe the high level ontologies that we have
developed to describe them. Our research complements previous work on ontologies
for service descriptions ...]]></description>
  <dc:date>2011-10-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/551/DC-Proposal-Graphical-Models-and-Probabilistic-Reasoning-for-Generating-Linked-Data-from-Tables">
  <title><![CDATA[DC Proposal: Graphical Models and Probabilistic Reasoning for Generating Linked Data from Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/551/DC-Proposal-Graphical-Models-and-Probabilistic-Reasoning-for-Generating-Linked-Data-from-Tables</link>
  <description><![CDATA[Vast amounts of information is encoded in tables found in
documents, on the Web, and in spreadsheets or databases. Integrating or
searching over this information benefits from understanding its intended
meaning and making it explicit in a semantic representation language
like RDF. Most current approaches to generating Semantic Web representations
from tables requires human input to create schemas and
often results in graphs that do not follow best practices for linked data.
Evidence fo...]]></description>
  <dc:date>2011-10-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/535/Creating-and-Exploiting-a-Hybrid-Knowledge-Base-for-Linked-Data">
  <title><![CDATA[Creating and Exploiting a Hybrid Knowledge Base for Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/535/Creating-and-Exploiting-a-Hybrid-Knowledge-Base-for-Linked-Data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet protocols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the evo...]]></description>
  <dc:date>2011-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/470/Creating-and-Exploiting-a-Web-of-Semantic-Data">
  <title><![CDATA[Creating and Exploiting a Web of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/470/Creating-and-Exploiting-a-Web-of-Semantic-Data</link>
  <description><![CDATA[Twenty years ago, Tim Berners-Lee proposed a distributed hypertext system based on standard Internet protocols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the evolutio...]]></description>
  <dc:date>2010-01-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/12/A-Proposal-for-Pervasive-Computing-Standard-Ontology">
  <title><![CDATA[A Proposal for Pervasive Computing Standard Ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/12/A-Proposal-for-Pervasive-Computing-Standard-Ontology</link>
  <description><![CDATA[This document describes a proposal for defining a standard ontology for supporting knowledge sharing and communication interoperability in pervasive computing applications.]]></description>
  <dc:date>2003-12-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/203/Akshay-Java-Ph-D-Proposal">
  <title><![CDATA[Akshay Java Ph.D. Proposal]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/203/Akshay-Java-Ph-D-Proposal</link>
  <dc:date>2006-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/138/Anand-s-Ph-D-proposal">
  <title><![CDATA[Anand's Ph.D. proposal]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/138/Anand-s-Ph-D-proposal</link>
  <description><![CDATA[Anand Patwardhan's Doctoral Dissertation Proposal Document]]></description>
  <dc:date>2005-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/95/Anand-s-Proposal-Defense-Presentation">
  <title><![CDATA[Anand's Proposal Defense Presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/95/Anand-s-Proposal-Defense-Presentation</link>
  <description><![CDATA[Anand's Proposal defense slides]]></description>
  <dc:date>2005-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/148/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Proposal">
  <title><![CDATA[CoCoNet: Content and Context Aware Networking - Prelim Proposal]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/148/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Proposal</link>
  <description><![CDATA[Prelim Proposal Writeup]]></description>
  <dc:date>2005-09-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/147/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Slides">
  <title><![CDATA[CoCoNet: Content and Context Aware Networking - Prelim Slides]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/147/CoCoNet-Content-and-Context-Aware-Networking-Prelim-Slides</link>
  <description><![CDATA[PhD Prelim Proposal Presentation]]></description>
  <dc:date>2005-09-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/267/Creating-and-exploiting-a-web-of-semantic-data">
  <title><![CDATA[Creating and exploiting a web of (semantic) data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/267/Creating-and-exploiting-a-web-of-semantic-data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext
system based on standard Internet protocols. The Web that resulted
fundamentally changed the ways we share information and services, both
on the public Internet and within organizations. That original
proposal contained the seeds of another effort that has not yet
blossomed: a Semantic Web designed to enable computer programs to
share and understand structured and semi-structured information
easily. We will review the ev...]]></description>
  <dc:date>2009-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data">
  <title><![CDATA[Creating and Exploiting a Web of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet proto-cols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the ev...]]></description>
  <dc:date>2010-01-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/76/Li-Ding-s-PhD-proposal">
  <title><![CDATA[Li Ding's PhD proposal]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/76/Li-Ding-s-PhD-proposal</link>
  <dc:date>2004-01-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web">
  <title><![CDATA[Modeling and using trust and provenance in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web</link>
  <description><![CDATA[This is Li Ding' proposal preview, and some parts are not finished yet. This proposal shows how to model trust and provenance to make the semantic web a useful real world knowledge base. It first positions trust and provenance in the big picture of semantic web research. Then some important reasearch problems along this line are listed with preliminary work.]]></description>
  <dc:date>2004-10-20</dc:date>
 </item>
</rdf:RDF>
