Title: Big data inconsistencies and incompleteness: a literature review

Authors: Olayinka Johnny; Marcello Trovati

Addresses: Department of Computer Science, Edge Hill University, Lancashire, UK ' Department of Computer Science, Edge Hill University, Lancashire, UK

Abstract: The analysis and integration of big data highlight some issues in the identification and resolution of data inconsistencies and knowledge incompleteness. This paper presents an overview of data inconsistencies and a review of approaches to resolve various levels of data inconsistencies. Moreover, we discuss some issues related to incompleteness and stability of known knowledge over specific time periods, and the implication for the decision-making process. In addition, the use of a Bayesian network model in inconsistency resolution in data analysis and knowledge engineering will also be considered.

Keywords: big data; data inconsistencies; NLP; Bayesian networks.

DOI: 10.1504/IJGUC.2020.110057

International Journal of Grid and Utility Computing, 2020 Vol.11 No.5, pp.705 - 713

Received: 18 Dec 2018
Accepted: 29 Aug 2019
Published online: 02 Oct 2020 *

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