Visualizing references and citations for scientific publications

• Main Author: Shen, Xujing.
• Other Authors: Sun Aixin
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: http://hdl.handle.net/10356/48625
• Institution: Nanyang Technological University

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.