Management of scientific documents and visualization of citation relationships using weighted key scientific terms
Authors
Wei, HuiZhao, Youbing
Liu, Enjie
Wu, Shaopeng
Deng, Zhikun
Parvinzamir, Farzad
Dong, Feng
Clapworthy, Gordon J.
Issue Date
2016-12-31Subjects
text miningontology
term weighting
TF-IDF
data management
visualization
Subject Categories::G500 Information Systems
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Proceedings of the 5th International Conference on Data Management Technologies and ApplicationsAbstract
Effective management and visualization of scientific and research documents can greatly assist researchers by improving understanding of relationships (e.g. citations) between the documents. This paper presents work on the management and visualization of large corpuses of scientific papers in order to help researchers explore their citation relationships. Term selection and weighting are used for mining citation relationships by identifying the most relevant. To this end, we present a variation of the TF-IDF scheme, which uses external domain resources as references to calculate the term weighting in a particular domain; document weighting is taken into account in the calculation of term weighting from a group of citations. A simple hierarchical word weighting method is also presented. The work is supported by an underlying architecture for document management using NoSQL databases and employs a simple visualization interface.Citation
Wei H, Zhao Y, Liu E, Wu S, Deng Z, Parvinzamir F, Dong F, Clapworthy G (2016) 'Management of scientific documents and visualization of citation relationships using weighted key scientific terms', 5th International Conference on Data Management Technologies and Applications - Lisbon, SciTePress.Publisher
SciTePressAdditional Links
https://www.scitepress.org/Link.aspx?doi=10.5220%2f0005981501350143Type
Conference papers, meetings and proceedingsLanguage
enISBN
9789897581939ae974a485f413a2113503eed53cd6c53
10.5220/0005981501350143
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