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<!--
	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=tagging">
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  <description><![CDATA[UMBC ebiquity RSS Tag Search for tagging]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/222/Gnizr-an-open-source-social-bookmarking-application"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/572/Social-and-Semantic-Computing-in-Support-of-Citizen-Science"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/426/Geolocating-Blogs-From-Their-Textual-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/356/Content-and-Context-Aware-Networking-Using-Semantic-Tagging"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide...]]></description>
  <dc:date>2013-04-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/222/Gnizr-an-open-source-social-bookmarking-application">
  <title><![CDATA[Gnizr: an open source social bookmarking application]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/222/Gnizr-an-open-source-social-bookmarking-application</link>
  <description><![CDATA[Gnizr is an open source application for social bookmarking and web mashup. It is easy to use gnizr to create a personalized del.icio.us-like portal for a group of friends and colleagues to store, classify, share information, and mash-it-up with information about location.

For more information, see http://gnizr.googlecode.com.]]></description>
  <dc:date>2007-11-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and
Influencing the people.  Blogging by nature is about expressing
and listening to opinion, the job of a politician is to both
represent and lead the people, good sentiment detection tools,
for blogs and other social media, tailored to politics are a must
for today's society. With the elections around the corner,
political blogs are vital to exerting and keeping political
influence over society.  Currently, no sentiment analysis...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2012-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes">
  <title><![CDATA[A Semantically Rich Cognitive Search Assistant For Clinical Notes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes</link>
  <description><![CDATA[There are many use cases in the medical industry and in research that require clinical information extraction from the narrative notes in electronic medical records. Significant advances have been made in recent years from using clinical text processing systems which rely heavily on the natural language processing pipeline of sentence segmentation, tokenization, part-of-speech tagging, and dependency parsing.  This approach relies on the text conforming to the rules of grammar in order fo...]]></description>
  <dc:date>2017-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/572/Social-and-Semantic-Computing-in-Support-of-Citizen-Science">
  <title><![CDATA[Social and Semantic Computing in Support of Citizen Science]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/572/Social-and-Semantic-Computing-in-Support-of-Citizen-Science</link>
  <description><![CDATA[We describe our ongoing work on using social media as a platform for citizen science. Building on our previous work of facilitating citizen science observations, and using RDF to integrate them with existing biodiversity knowledge, we are currently building Facebook Apps that will enable the reporting of observations, as well as the browsing and tagging of existing observations.  The tagging capability serves two main purposes. First, it permits (and, we hope, encourages) multi-stage crowdsou...]]></description>
  <dc:date>2011-08-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/426/Geolocating-Blogs-From-Their-Textual-Content">
  <title><![CDATA[Geolocating Blogs From Their Textual Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/426/Geolocating-Blogs-From-Their-Textual-Content</link>
  <description><![CDATA[Mashups showing the geographic location of the authors of social media content are popular. They generally depend on the authors reporting their own location. For blogs, auto-mated geolocation strategies using IP address and domain name are not adequate for determining an author’s location. Instead, we detail textual geolocation techniques suitable for tagging social media data, facilitating development of geo-graphic mashups and spatial reasoning tools.]]></description>
  <dc:date>2009-03-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/356/Content-and-Context-Aware-Networking-Using-Semantic-Tagging">
  <title><![CDATA[Content and Context Aware Networking Using Semantic Tagging]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/356/Content-and-Context-Aware-Networking-Using-Semantic-Tagging</link>
  <description><![CDATA[Todays model of networking primarily concentrates intelligence at the end hosts 
with the network itself offering a simple``best-effort",``data agnostic" 
communication medium. However, such a paradigm has proven to be insufficient to 
meet todays needs considering the diversity of applications and devices that 
are networked. To offer value added services to these end users and 
applications, more and more intelligence needs to be migrated away from the 
edges and into the network in a...]]></description>
  <dc:date>2006-04-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2013-05-31</dc:date>
 </item>
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