Çataltaş, M.Yumuşak, S.Oztoprak, K.2023-03-032023-03-0320229781665480451https://doi.org/10.1109/BigData55660.2022.10020376https://hdl.handle.net/20.500.13091/3694Ankura;et al.;Hitachi;KPMG Consulting Co., Ltd.;NTT Data Intellilink Corporation;Think in Data Initiative, Association Inc2022 IEEE International Conference on Big Data, Big Data 2022 -- 17 December 2022 through 20 December 2022 -- 186390As 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.eninfo:eu-repo/semantics/closedAccessAcademic publicationsArt researchLiterature reviewsReference graphsReview processReview systemsState of the artSupport systemsConference Object10.1109/BigData55660.2022.100203762-s2.0-85147974287