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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=natural+language+queries">
  <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//tags/html/?t=natural+language+queries]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for natural language queries]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/758/Semantic-knowledge-and-privacy-in-the-physical-web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/371/UMBC-IOT-Android-client"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web">
  <title><![CDATA[Semantic knowledge and privacy in the physical web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web</link>
  <description><![CDATA[In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and person...]]></description>
  <dc:date>2016-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[PhD defense: Lushan Han, Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Schema Free Querying of Semantic Data

Lushan Han

Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. We refer to them as as schema-free query interfaces, since they allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language. Schema-free query interfaces address fundamental problems in natural la...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/758/Semantic-knowledge-and-privacy-in-the-physical-web">
  <title><![CDATA[Semantic knowledge and privacy in the physical web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/758/Semantic-knowledge-and-privacy-in-the-physical-web</link>
  <description><![CDATA[In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and person...]]></description>
  <dc:date>2016-10-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data">
  <title><![CDATA[Discovering and Querying Hybrid Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data</link>
  <description><![CDATA[In this paper, we present a unified framework for discovering and querying hybrid linked data. We describe our approach to developing a natural language query interface for a hybrid knowledge base Wikitology, and present that as a case study for accessing hybrid information sources with structured and unstructured data through natural language queries. We evaluate our system on a publicly available dataset and demonstrate improvements over a baseline system.  We describe limitations of our ap...]]></description>
  <dc:date>2015-05-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. Since such interfaces allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language, we call them as schema-free query interfaces. Schema-free query interface systems address a fundamental problem in NLP, Database and AI - to bridge the user conceptual ...]]></description>
  <dc:date>2014-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/371/UMBC-IOT-Android-client">
  <title><![CDATA[UMBC IOT Android client]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/371/UMBC-IOT-Android-client</link>
  <description><![CDATA[UMBC IoT Project Android Client
Install a latest version of the app from release list link from webpage below. In the current mode of deployment, the app will work, if you are near one of our beacons in the Information Technology and Engineering building at UMBC. If you are near one of them, you will be able to query our Knowledge Base using voice commands or through text input. It's an AMA app, enabling you to ask queries about any organization (for example UMBC).]]></description>
  <dc:date>2017-04-04</dc:date>
 </item>
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