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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">John R. Williams.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Ravichandran, Deepak, 1980-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-10-14T20:21:11Z</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 65-66).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Researchers and students gather a wealth of information from the Internet. With increasingly affordable large hard disk spaces, much content can be archived in the computer for future reference. However, the only means for organizing this information on today's machines is the folder system. Information on a topic may be spread over many folders. This provides for poor content navigation and retrieval. This thesis describes how the concept of keyword-based indexing can be applied towards navigation of electronic content. The idea is implemented in the form of a software solution - Desktop Content Manager. The information on keywords and content are stored and represented in a manner facilitating automatic hyper linking of related information providing immediate access. The software was tested with sample content extracted from different sources and the scalability and limitations of the suggested approach identified. The findings are used to define further work in this area.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Deepak Ravichandran.</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">66 p.</dim:field>
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   <dim:field mdschema="dc" element="title" lang="en_US">Using keyword-based indexing for desktop content navigation : Desktop Content Manager</dim:field>
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   	&lt;Abstract>Researchers and students gather a wealth of information from the Internet. With increasingly affordable large hard disk spaces, much content can be archived in the computer for future reference. However, the only means for organizing this information on today&amp;apos;s machines is the folder system. Information on a topic may be spread over many folders. This provides for poor content navigation and retrieval. This thesis describes how the concept of keyword-based indexing can be applied towards navigation of electronic content. The idea is implemented in the form of a software solution - Desktop Content Manager. The information on keywords and content are stored and represented in a manner facilitating automatic hyper linking of related information providing immediate access. The software was tested with sample content extracted from different sources and the scalability and limitations of the suggested approach identified. The findings are used to define further work in this area.&lt;/Abstract>
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