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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Walter Bender.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Gonzalez Pinto, Jose Maria, 1975-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-08-23T20:47:48Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2002</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2002</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">50778019</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 68-69).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The amount of information organizations possess now days is overwhelming and the need of being capable of extracting valuable knowledge from such large amount of information is imperative. This thesis presents a software tool capable of extracting valuable knowledge (e.g. expertise) of a scientific community, generating relationships among community members automatically and revealing these relationships through a visualization tool. The types of relationships that this tool reveals are of the form of "who knows what" and "who can collaborate with whom" (both based on areas of expertise). The work presented was conducted and evaluated within the context of research institutions.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jose Maria Gonzalez Pinto.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
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   <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 reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A knowledge-network model of scientific communities</dim:field>
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   	&lt;Title>A knowledge-network model of scientific communities&lt;/Title>
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   	&lt;PublicationDate>2002&lt;/PublicationDate>
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    &lt;Keyword>Architecture. Program in Media Arts and Sciences.&lt;/Keyword>
   	&lt;Abstract>The amount of information organizations possess now days is overwhelming and the need of being capable of extracting valuable knowledge from such large amount of information is imperative. This thesis presents a software tool capable of extracting valuable knowledge (e.g. expertise) of a scientific community, generating relationships among community members automatically and revealing these relationships through a visualization tool. The types of relationships that this tool reveals are of the form of &amp;quot;who knows what&amp;quot; and &amp;quot;who can collaborate with whom&amp;quot; (both based on areas of expertise). The work presented was conducted and evaluated within the context of research institutions.&lt;/Abstract>
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