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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">David Brock.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Venkataramanan, Jyotsna</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-11-01T19:48:12Z</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">757176113</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2011.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">"December 2010." Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 61-64).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Disparity in representations within structured documents such as XML or SQL makes interoperability challenging, error-prone and expensive. A model is developed to process disparate representations to an encompassing generic knowledge representation. Data sources were characterized according to a number of smaller models: their case; the underlying data storage structures; a content model based on the ontological structure defined by the documents schema; and the data model or physical structure of the schema. In order to harmonize different representations and give them semantic meaning, from the above categories the representation is mapped to a common dictionary. The models were implemented as a structured data analysis tool and a basis was built to compare across schema and documents. Data exchange within modeling and simulation environments are increasingly in the form of XML using a variety of schema. Therefore, we demonstrate the use of this modeling tool to automatically harmonized multiple disparate XML data sources in a prototype simulated environment.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jyotsna Venkataramanan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">64 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Modeling tools for the integration of structured data sources</dim:field>
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   	&lt;Title>Modeling tools for the integration of structured data sources&lt;/Title>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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        	&lt;DisplayName>Venkataramanan, Jyotsna&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Disparity in representations within structured documents such as XML or SQL makes interoperability challenging, error-prone and expensive. A model is developed to process disparate representations to an encompassing generic knowledge representation. Data sources were characterized according to a number of smaller models: their case; the underlying data storage structures; a content model based on the ontological structure defined by the documents schema; and the data model or physical structure of the schema. In order to harmonize different representations and give them semantic meaning, from the above categories the representation is mapped to a common dictionary. The models were implemented as a structured data analysis tool and a basis was built to compare across schema and documents. Data exchange within modeling and simulation environments are increasingly in the form of XML using a variety of schema. Therefore, we demonstrate the use of this modeling tool to automatically harmonized multiple disparate XML data sources in a prototype simulated environment.&lt;/Abstract>
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