Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/3694
Title: | Academic Graph: A Literature Review System | Authors: | Çataltaş, M. Yumuşak, S. Oztoprak, K. |
Keywords: | Academic publications Art research Literature reviews Reference graphs Review process Review systems State of the art Support systems |
Issue Date: | 2022 | Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | As the number of academic publications increase, preparing a literature review becomes more challenging. This paper introduces an automated literature review support system to ease the literature review process for academia with reference graphs, abstract and full document summaries, paper clusters by keywords, abstracts, and abstract summaries combined. The output of the proposed system may ease exploring the state-of-the-art research. © 2022 IEEE. | Description: | Ankura;et al.;Hitachi;KPMG Consulting Co., Ltd.;NTT Data Intellilink Corporation;Think in Data Initiative, Association Inc 2022 IEEE International Conference on Big Data, Big Data 2022 -- 17 December 2022 through 20 December 2022 -- 186390 |
URI: | https://doi.org/10.1109/BigData55660.2022.10020376 https://hdl.handle.net/20.500.13091/3694 |
ISBN: | 9781665480451 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
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Academic_Graph_A_Literature_Review_System.pdf Until 2030-01-01 | 1.16 MB | Adobe PDF | View/Open Request a copy |
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