Big data inconsistencies and incompleteness: a literature review. (1st August 2020)

• Record Type: Journal Article
• Authors: Johnny, Olayinka; Trovati, Marcello
• Is Part Of: International journal of grid and utility computing. Volume 11:Number 5(2020)
• Page Start: 705
• Page End: 713
• Publication Date: 2020-08-01
• Subjects: big data -- data inconsistencies -- NLP -- Bayesian networks; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

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.