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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=statistical+association">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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 <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>
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 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations">
  <title><![CDATA[Graph of Relations]]></title>
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  <description><![CDATA[ 
Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest.  Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical ``skeleton'' for a query and anno...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/700/UMBC_Ebiquity-SFQ-Schema-Free-Querying-System">
  <title><![CDATA[UMBC_Ebiquity-SFQ: Schema Free Querying System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/700/UMBC_Ebiquity-SFQ-Schema-Free-Querying-System</link>
  <description><![CDATA[Users need better ways to explore large complex linked data resources.  Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology and URIs for entities of interest. Natural language question answering systems solve the problem, but these are still subjects of research. The Schema agnostic SPARQL queries task defined in SAQ-2015 challenge consists of schema-agnostic queries following the syntax of the SPARQL standard, where the s...]]></description>
  <dc:date>2015-06-01</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/paper/html/id/598/Schema-Free-Structured-Querying-of-DBpedia-Data">
  <title><![CDATA[Schema-Free Structured Querying of DBpedia Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/598/Schema-Free-Structured-Querying-of-DBpedia-Data</link>
  <description><![CDATA[We need better ways to query large linked data collections such as DBpedia. Using the SPARQL query language requires not only mastering its syntax but also understanding the RDF data model, large ontology vocabularies and URIs for denoting entities.  Natural language interface systems address the problem, but are still subjects of research. We describe a compromise in which non-experts specify a graphical query ``skeleton'' and annotate it with freely chosen words, phrases and entity names. T...]]></description>
  <dc:date>2012-08-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/578/GoRelations-Towards-an-Intuitive-Query-System-for-RDF-Data">
  <title><![CDATA[GoRelations: Towards an Intuitive Query System for RDF Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/578/GoRelations-Towards-an-Intuitive-Query-System-for-RDF-Data</link>
  <description><![CDATA[Users need better ways to explore DBpedia and obtain information from it.
Using SPARQL requires not only mastering its syntax and semantics but also understanding
the RDF data model, the ontology used by the DBpedia, and URIs for
entities of interest. Natural language question answering systems solve the problem,
but these are still subjects of research. We describe a compromise in which
non-experts specify a graphical “skeleton” for a query and annotate it with freely
chosen words,...]]></description>
  <dc:date>2012-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/557/GoRelations-An-Intuitive-Query-System-for-DBpedia">
  <title><![CDATA[GoRelations: An Intuitive  Query System for DBpedia]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/557/GoRelations-An-Intuitive-Query-System-for-DBpedia</link>
  <description><![CDATA[Although a formal query language, SPARQL, is available for accessing DBpedia, it remains challenging for users to query the knowledge unless they are familiar with the syntax of SPARQL and the underlying ontology. We have developed both an intuitive semantic graph notation or interface allowing one to pose a query by annotating a graph with natural language terms denoting entities and relations and a system that automatically translates the query into SPARQL to produce an answer. Our key cont...]]></description>
  <dc:date>2011-12-04</dc:date>
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