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<!--
	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/amazon/?t=amazon">
  <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//tag/html/amazon/?t=amazon]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for amazon]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/364/Quick-and-Shallow-Introduction-to-Cloud-Computing-and-Amazon-Web-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/337/Collecting-user-annotations-using-Amazon-Mechanical-Turk-and-CrowdFlower"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/90/Technical-challenges-at-Amazon"/>
      <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/33/SemNews-news-text-to-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1042/Poligraph-Intrusion-Tolerant-and-Distributed-Fake-News-Detection-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/948/An-Integrated-Knowledge-Graph-to-Automate-Cloud-Data-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/727/A-Practical-Oblivious-Map-Data-Structure-with-Secure-Deletion-and-History-Independence-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/657/TISA-Topic-Independence-Scoring-Algorithm"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/476/Annotating-named-entities-in-Twitter-data-with-crowdsourcing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/319/Using-the-Semantic-Web-to-Support-Ecoinformatics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/297/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/308/Quick-and-Shallow-Introduction-to-Cloud-Computing-and-Amazon-Web-Services"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/364/Quick-and-Shallow-Introduction-to-Cloud-Computing-and-Amazon-Web-Services">
  <title><![CDATA[Quick and Shallow Introduction to Cloud Computing and Amazon Web Services]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/364/Quick-and-Shallow-Introduction-to-Cloud-Computing-and-Amazon-Web-Services</link>
  <description><![CDATA[Vlad Korolev will provide a quick overview of development techniques for cloud computing environments and survey of major providers and services offered by them.  He will explain the anatomy of typical cloud computing application and provide provide a concrete example of the application within the Amazon Web Services environment (comprising EC2, S3, SQS, and RDS).  Vlad will also give an overview of the available development and administration tools and how to get started with EC2.  The talk ...]]></description>
  <dc:date>2010-09-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/337/Collecting-user-annotations-using-Amazon-Mechanical-Turk-and-CrowdFlower">
  <title><![CDATA[Collecting user annotations using Amazon Mechanical Turk and CrowdFlower]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/337/Collecting-user-annotations-using-Amazon-Mechanical-Turk-and-CrowdFlower</link>
  <description><![CDATA[Will Murnane and Anand Karandikar will talk about using Amazon Mechanical Turk and CrowdFlower systems to collect user annotations for NER task on Twitter statuses. These annotations will help towards developing better named entity recognizers for domains such as Twitter and Facebook.]]></description>
  <dc:date>2010-03-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging">
  <title><![CDATA[The Business of Blogging]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging</link>
  <description><![CDATA[Blogs are radically changing the face of communications on the Internet.
Beyond publishing content, blogs enable users to engage in conversation and form tight knit communities, constituting a highly influential subset on the Web. While the benefit of blogs to individuals is well studied, their
utility for an enterprise is less well understood.


This presentation details how enterprises can benefit from adopting blogs, internally, and externally, in the context of IBM.  We discuss how b...]]></description>
  <dc:date>2006-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/90/Technical-challenges-at-Amazon">
  <title><![CDATA[Technical challenges at Amazon]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/90/Technical-challenges-at-Amazon</link>
  <description><![CDATA[Dan Eshner, a senior technologist at Amazon Inc, will
describe the technical challenges and their solutions
facing Amazon.  Amazon.com was one of the first major
companies to sell goods over the Internet and has become
what is probably the Web's largest and most influential
retailer.  Amazon also owns a number of very innovative
companies providing web-based services, including Alexa
Internet, a9.com, and the Internet Movie Database (IMDb).

Launched in 1995, Amazon.com began as an o...]]></description>
  <dc:date>2005-03-08</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/33/SemNews-news-text-to-Semantic-Web">
  <title><![CDATA[SemNews: news text to Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web</link>
  <description><![CDATA[SemNews Understands the News 

 Prototype UMBC system interprets online news stories  and  publishes text meaning on the Semantic Web

      SemNews is a prototype
application being developed by UMBC Ph.D. student Akshay Java that
uses a sophisticated text understanding system to interpret summaries
of news stories, publishes the results on the semantic web and
provides browsing and query services over them.  The project is the
result of a collaboration between the UMBC's Institute ...]]></description>
  <dc:date>2006-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1042/Poligraph-Intrusion-Tolerant-and-Distributed-Fake-News-Detection-System">
  <title><![CDATA[Poligraph: Intrusion-Tolerant and Distributed Fake News Detection System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1042/Poligraph-Intrusion-Tolerant-and-Distributed-Fake-News-Detection-System</link>
  <description><![CDATA[We present Poligraph, an intrusion-tolerant and decentralized fake news detection system. Poligraph aims to address architectural, system, technical, and social challenges of building a practical, long-term fake news detection platform. We first conduct a case study for fake news detection at authors’ institute, showing that machine learning-based reviews are less accurate but timely, while human reviews, in particular, experts reviews, are more accurate but time-consuming. This justifies t...]]></description>
  <dc:date>2021-11-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/948/An-Integrated-Knowledge-Graph-to-Automate-Cloud-Data-Compliance">
  <title><![CDATA[An Integrated Knowledge Graph to Automate Cloud Data Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/948/An-Integrated-Knowledge-Graph-to-Automate-Cloud-Data-Compliance</link>
  <description><![CDATA[To address data protection concerns, authorities and standards bodies worldwide have released a plethora of regulations, guidelines, and software controls to be applied to Cloud data. As a result, service providers maintaining their end-user’s private attributes have seen a surge in compliance requirements. Since most of these regulations are not available in a machine-processable format, it requires significant manual effort to adhere to them. Often many of the laws have overlapping rules,...]]></description>
  <dc:date>2020-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-">
  <title><![CDATA[A Deep Learning Approach to Understanding Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-</link>
  <description><![CDATA[Educational organizations, like Universities and School Systems, are rapidly adopting Cloud based services to provide Information Technology (IT) infrastructure to their students. These include course offerings, class materials, ​data storage, emailing and collaboration software, virtual computing environment, etc. Moreover, cloud providers, like Amazon, are also providing free computing credits targeted to students. The legal documents associated with cloud based
services, such as Service...]]></description>
  <dc:date>2017-05-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/727/A-Practical-Oblivious-Map-Data-Structure-with-Secure-Deletion-and-History-Independence-">
  <title><![CDATA[A Practical Oblivious Map Data Structure with Secure Deletion and History Independence.]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/727/A-Practical-Oblivious-Map-Data-Structure-with-Secure-Deletion-and-History-Independence-</link>
  <description><![CDATA[We present a new oblivious RAM that supports variable-sized storage blocks (vORAM), which is the first ORAM to allow varying block sizes without trivial padding. We also present a new history-independent data structure (a HIRB tree) that can be stored within a vORAM. Together, this construction provides an efficient and practical oblivious data structure (ODS) for a key/value map, and goes further to provide an additional privacy guarantee as compared to prior ODS maps: even upon client compr...]]></description>
  <dc:date>2016-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/657/TISA-Topic-Independence-Scoring-Algorithm">
  <title><![CDATA[TISA: Topic Independence Scoring Algorithm]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/657/TISA-Topic-Independence-Scoring-Algorithm</link>
  <description><![CDATA[Textual analysis using machine learning is in high demand for a wide range of applications including recommender systems, business intelligence tools, and electronic personal assistants. Some of these applications need to operate over a wide and unpredictable array of topic areas, but current in-domain, domain adaptation, and multi-domain approaches cannot adequately support this need, due to their low accuracy on topic areas that they are not trained for, slow adaptation speed, or hi...]]></description>
  <dc:date>2013-07-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/476/Annotating-named-entities-in-Twitter-data-with-crowdsourcing">
  <title><![CDATA[Annotating named entities in Twitter data with crowdsourcing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/476/Annotating-named-entities-in-Twitter-data-with-crowdsourcing</link>
  <description><![CDATA[We describe our experience using both Amazon Mechanical Turk (MTurk) and Crowd Flower to collect simple named entity annotations for Twitter status updates. Unlike most genres that have traditionally been the focus of named entity experiments, Twitter is far more informal and abbreviated. The collected annotations and annotation techniques will provide a first step toward the full study of named entity recognition in domains like Facebook and Twitter. We also briefly describe how to use MTurk...]]></description>
  <dc:date>2010-06-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/319/Using-the-Semantic-Web-to-Support-Ecoinformatics">
  <title><![CDATA[Using the Semantic Web to Support Ecoinformatics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/319/Using-the-Semantic-Web-to-Support-Ecoinformatics</link>
  <description><![CDATA[We describe our on-going work in using the semantic web in
support of ecological informatics, and demonstrate a distributed
platform for constructing end-to-end use cases. Specifically, we
describe ELVIS (the Ecosystem Location Visualization and
Information System), a suite of tools for constructing food webs
for a given location, and Triple Shop, a SPARQL query interface
which allows scientists to semi-automatically construct
distributed datasets relevant to the queries they want to a...]]></description>
  <dc:date>2006-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/297/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data">
  <title><![CDATA[Improving Accuracy of Named Entity Recognition on Social Media Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/297/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data</link>
  <description><![CDATA[We present a system for improving the accuracy of one NLP technique, Named Entity Recognition or NER, on Twitter data by training a recognizer specifically for this type of data.  This training data is obtained from the Amazon Mechanical Turk crowdsourcing platform.]]></description>
  <dc:date>2010-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/308/Quick-and-Shallow-Introduction-to-Cloud-Computing-and-Amazon-Web-Services">
  <title><![CDATA[Quick and Shallow Introduction to Cloud Computing and Amazon Web Services]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/308/Quick-and-Shallow-Introduction-to-Cloud-Computing-and-Amazon-Web-Services</link>
  <description><![CDATA[Vlad Korolev will provide a quick overview of development techniques for cloud computing environments and survey of major providers and services offered by them. He will explain the anatomy of typical cloud computing application and provide provide a concrete example of the application within the Amazon Web Services environment (comprising EC2, S3, SQS, and RDS). Vlad will also give an overview of the available development and administration tools and how to get started with EC2. The talk wil...]]></description>
  <dc:date>2010-09-21</dc:date>
 </item>
</rdf:RDF>
