Framework for handling data veracity in big data

Al-Jepoori, M. and Al-Khanjari, Z. (2018) Framework for handling data veracity in big data. International Journal of Computer Science and Software Engineering, 7 (6). pp. 138-141. ISSN E-ISSN: 2409-4285.

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Abstract

Big Data is the term used for massive amount of data collected by different means and in various formats. Data Veracity refers to the uncertainty of available data; this means that the quality of the collected data cannot be trusted.

This paper reports on ongoing research based on using the Semantic Web technology to verify user entered data and increase dependability on Big Data. Validating, cleaning and reducing collected data are the major activities required to enhance the quality of the collected data.

Item Type: Article
Uncontrolled Keywords: Big data; veracity; user generated data; automatically collected data; crowed validation of data; fake news
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science > QA0076.75 Computer software
Divisions: Faculty of Social and Applied Sciences > School of Law, Criminal Justice and Computing
Depositing User: Muna Al-Jepoori
Date Deposited: 04 Jul 2018 09:08
Last Modified: 31 Jul 2018 10:00
URI: https://create.canterbury.ac.uk/id/eprint/17433

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Last edited: 29/06/2016 12:23:00