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Authors: Hui Wei ; Youbing Zhao ; Shaopeng Wu ; Zhikun Deng ; Farzad Parvinzamir ; Feng Dong ; Enjie Liu and Gordon Clapworthy

Affiliation: University of Bedfordshire, United Kingdom

ISBN: 978-989-758-193-9

Keyword(s): Data Management, Term Weighting, Ontology, Text Mining, TF-IDF, Visualization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Data Engineering ; Data Management and Quality ; Databases and Data Security ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Nosql Databases ; Ontologies and the Semantic Web ; Ontology Engineering ; Semi-Structured and Unstructured Data ; Symbolic Systems ; Text Analytics

Abstract: 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.

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Paper citation in several formats:
Wei H., Zhao Y., Wu S., Deng Z., Parvinzamir F., Dong F., Liu E. and Clapworthy G. (2016). Management of Scientific Documents and Visualization of Citation Relationships using Weighted Key Scientific Terms.In Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-193-9, pages 135-143. DOI: 10.5220/0005981501350143

@conference{data16,
author={Hui Wei and Youbing Zhao and Shaopeng Wu and Zhikun Deng and Farzad Parvinzamir and Feng Dong and Enjie Liu and Gordon Clapworthy},
title={Management of Scientific Documents and Visualization of Citation Relationships using Weighted Key Scientific Terms},
booktitle={Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2016},
pages={135-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005981501350143},
isbn={978-989-758-193-9},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Management of Scientific Documents and Visualization of Citation Relationships using Weighted Key Scientific Terms
SN - 978-989-758-193-9
AU - Wei H.
AU - Zhao Y.
AU - Wu S.
AU - Deng Z.
AU - Parvinzamir F.
AU - Dong F.
AU - Liu E.
AU - Clapworthy G.
PY - 2016
SP - 135
EP - 143
DO - 10.5220/0005981501350143

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