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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=schema+mapping">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=schema+mapping]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for schema mapping]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/633/Online-unsupervised-coreference-resolution-for-semi-structured-heterogeneous-data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/531/A-semantic-similarity-analysis-for-data-mappings-between-heterogeneous-XML-schemas"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/488/Semantic-Similarity-Analysis-of-XML-Schema-using-Grid-Computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/420/A-Layered-Approach-to-Semantic-Similarity-Analysis-of-XML-Schemas"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations">
  <title><![CDATA[Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare  Organizations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations</link>
  <description><![CDATA[Data integration from multiple sources can improve decision-making and predict epidemiological trends. While there are many ben-
eőts to data integration, there are also privacy concerns, especially in healthcare. The Health Insurance Portability and Accountability Act
(HIPAA) is one of the essential regulations in healthcare, and it sets strict standards for the privacy and security of patient data. Often, data integration can be complex because different rules apply to different companie...]]></description>
  <dc:date>2024-01-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/633/Online-unsupervised-coreference-resolution-for-semi-structured-heterogeneous-data">
  <title><![CDATA[Online unsupervised coreference resolution for semi-structured heterogeneous data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/633/Online-unsupervised-coreference-resolution-for-semi-structured-heterogeneous-data</link>
  <description><![CDATA[A pair of RDF instances are said to corefer when they are intended to denote the same
thing in the world, for example, when two nodes of type foaf:Person describe the same
individual. This problem is central to integrating and inter-linking semi-structured
datasets. We are developing an online, unsupervised coreference resolution framework
for heterogeneous, semi-structured data. The online aspect requires us to process
new instances as they appear and not as a batch. The instances are h...]]></description>
  <dc:date>2012-11-30</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/531/A-semantic-similarity-analysis-for-data-mappings-between-heterogeneous-XML-schemas">
  <title><![CDATA[A semantic similarity analysis for data mappings between heterogeneous XML schemas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/531/A-semantic-similarity-analysis-for-data-mappings-between-heterogeneous-XML-schemas</link>
  <description><![CDATA[One of the most critical steps to integrating heterogeneous e-Business applications using different XML schemas is schema mapping, which is known to be costly and error-prone. Past research on schema mapping has not made full use of semantic information imbedded in the hierarchical structure of the XML schema. In this chapter, we investigate the existing schema mapping approaches and propose an innovative semantic similarity analysis approach to facilitate XML schema mapping, merging and reus...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/488/Semantic-Similarity-Analysis-of-XML-Schema-using-Grid-Computing">
  <title><![CDATA[Semantic Similarity Analysis of XML Schema using Grid Computing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/488/Semantic-Similarity-Analysis-of-XML-Schema-using-Grid-Computing</link>
  <description><![CDATA[A growing number of e-businesses have been using XML schemas in recent years. Schema mapping now plays a crucial role in integrating heterogeneous ebusiness applications. Since large-scale XML schema mapping using complex and hybrid similarity measures requires significant amount of processing time, a sophisticated similarity analysis algorithm is needed to handle its complexity and performance. In this paper, we focus on designing a service-oriented architecture (SoA) for schema mapping, bas...]]></description>
  <dc:date>2009-08-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/420/A-Layered-Approach-to-Semantic-Similarity-Analysis-of-XML-Schemas">
  <title><![CDATA[A Layered Approach to Semantic Similarity Analysis of XML Schemas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/420/A-Layered-Approach-to-Semantic-Similarity-Analysis-of-XML-Schemas</link>
  <description><![CDATA[One of the most critical steps to integrating heterogeneous
e-Business applications using different XML schemas
is schema mapping, which is known to be costly and
error-prone. Past research on schema mapping has not
fully utilized semantic information in the XML schemas.
In this paper, we propose a semantic similarity analysis
approach to facilitate XML schema mapping, merging
and reuse. Several key innovations are introduced to better
utilize available semantic information. These inn...]]></description>
  <dc:date>2008-07-13</dc:date>
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