Framework for handling data veracity in big data

Journal article


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.
AuthorsAl-Jepoori, M. and Al-Khanjari, Z.
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.

KeywordsBig data; veracity; user generated data; automatically collected data; crowed validation of data; fake news
Year2018
JournalInternational Journal of Computer Science and Software Engineering
Journal citation7 (6), pp. 138-141
ISSNE-ISSN: 2409-4285
Official URLhttp://ijcsse.org/published/volume7/issue6/index.php
FunderN/A
Publication dates
Online30 Jun 2018
Publication process dates
Deposited04 Jul 2018
Accepted17 Jun 2018
Output statusPublished
Publisher's version
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https://repository.canterbury.ac.uk/item/88v91/framework-for-handling-data-veracity-in-big-data

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