Content analysis-based documentation and exploration of research articles
Data Technologies and Applications
ISSN: 2514-9288
Article publication date: 6 July 2021
Issue publication date: 18 January 2022
Abstract
Purpose
With the wealth of information available on the World Wide Web, it is difficult for anyone from a general user to the researcher to easily fulfill their information need. The main challenge is to categorize the documents systematically and also take into account more valuable data such as semantic information. The purpose of this paper is to develop a concept-based search system that leverages the external knowledge resources as the background knowledge for getting the accurate and efficient meaningful search results.
Design/methodology/approach
The paper introduces the approach which is based on formal concept analysis (FCA) with the semantic information to support the document management in information retrieval (IR). To describe the semantic information of the documents, the system uses the popular knowledge resources WordNet and Wikipedia. By using FCA, the system creates the concept lattice as the concept hierarchy of the document and proposes the navigation algorithm for retrieving the hierarchy based on the user query.
Findings
The semantic information of the document is based on the two external popular knowledge resources; the authors find that it will be more efficient to deal with the semantic mismatch problems of user need.
Originality/value
The navigation algorithm proposed in this research is applied to the scientific articles of the National Science Foundation (NSF). The proposed system can enhance the integration and exploration of the scientific articles for the advancement of the Scientific and Engineering Research Community.
Keywords
Acknowledgements
The author immeasurably appreciates and expresses deepest gratitude to her assessors: Dr. Myat Myat Min, Dr. Soe Yu Maw and Dr. Thin Mya Mya Swe for their encouragement, insightful comments and hard questions.
Foremost, the author would like to express her sincere gratitude to her supervisor Dr. Nyein Nyein Myo, Professor, Faculty of Information Science, University of Computer Studies, Mandalay. Her guidance helped me in all the time of research and writing of this research article. My completion of this article could not have been accomplished without the support of her.
The author would also like to thank her parents who supported her spiritually throughout my life. Any attempt at any level cannot be satisfactorily completed without the support of parents.
Finally, the author thanks all who in one way or another contributed in the completion of this article.
Citation
Phyo, S.S. (2022), "Content analysis-based documentation and exploration of research articles", Data Technologies and Applications, Vol. 56 No. 1, pp. 24-43. https://doi.org/10.1108/DTA-07-2020-0146
Publisher
:Emerald Publishing Limited
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