Framework for handling data veracity in big data

Muna Al-Jepoori

Framework for handling data veracity in big data

Muna Al-Jepoori

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	138-141
Journal	International Journal of Computer Science and Software Engineering
Volume	7
Issue number	6
Publication status	Published - 30 Jun 2018

Keywords

Big data; veracity; user generated data; automatically collected data; crowed validation of data; fake news

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title = "Framework for handling data veracity in big data",

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.",

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Framework for handling data veracity in big data

Abstract

Keywords

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