Visualizing references and citations for scientific publications

For a single target publication document, there are list of references and citations. All its references and citations are considerably relevant to the document. This project is to propose and implement one prototype of visualizing relevance between the single target document and references or citat...

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Bibliographic Details
Main Author: Shen, Xujing.
Other Authors: Sun Aixin
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48625
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author Shen, Xujing.
author2 Sun Aixin
author_facet Sun Aixin
Shen, Xujing.
author_sort Shen, Xujing.
collection NTU
description For a single target publication document, there are list of references and citations. All its references and citations are considerably relevant to the document. This project is to propose and implement one prototype of visualizing relevance between the single target document and references or citations. The visualizing are the clustering results based on pair wise cosine similarities computed among target and documents. The cosine similarities are calculated and aggregated on few fields such as document title and abstract. The design purpose of the prototype is to enrich reader experience by visualizing the similarity among target document and the others to get idea of documents which are more worth to further read.
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spelling ntu-10356/486252023-03-03T20:38:21Z Visualizing references and citations for scientific publications Shen, Xujing. Sun Aixin School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing For a single target publication document, there are list of references and citations. All its references and citations are considerably relevant to the document. This project is to propose and implement one prototype of visualizing relevance between the single target document and references or citations. The visualizing are the clustering results based on pair wise cosine similarities computed among target and documents. The cosine similarities are calculated and aggregated on few fields such as document title and abstract. The design purpose of the prototype is to enrich reader experience by visualizing the similarity among target document and the others to get idea of documents which are more worth to further read. Bachelor of Engineering (Computer Science) 2012-04-27T07:36:55Z 2012-04-27T07:36:55Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48625 en Nanyang Technological University 66 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Shen, Xujing.
Visualizing references and citations for scientific publications
title Visualizing references and citations for scientific publications
title_full Visualizing references and citations for scientific publications
title_fullStr Visualizing references and citations for scientific publications
title_full_unstemmed Visualizing references and citations for scientific publications
title_short Visualizing references and citations for scientific publications
title_sort visualizing references and citations for scientific publications
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
url http://hdl.handle.net/10356/48625
work_keys_str_mv AT shenxujing visualizingreferencesandcitationsforscientificpublications