Aspectual Analysis as an alternative way of understanding the definitions of Big Data

Sina Joneidy, Maria Burke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper considers the application of philosophy to the field of Big Data. In particular, thepaper considers how “Dooyeweerd’s aspects of everyday life” can contribute to the reconceptualization of Big Data. The paper reviews recent debates relating to Big Data as a concept by investigating the meaning of Big Data definitions gathered in the De Mauro study published in 2015. In doing so, Dooyeweerd’s “philosophy of everyday life” can assist us, not only in finding the more precise meaning of definitions, but also in contributing to concepts that help our understanding of Big Data. In conclusion, this study shows a useful way of exploring the meaning of Big Data definitions towards affirming and enriching them
Original languageEnglish
Title of host publicationInternational Data and Information Management Conference (IDIMC 2016)
PublisherLoughborough University
Pages42-53
Publication statusPublished - 12 Jan 2016
EventInternational Data and Information Management Conference 2016 - University, Loughborough, United Kingdom
Duration: 12 Jan 201613 Jan 2016

Conference

ConferenceInternational Data and Information Management Conference 2016
Abbreviated titleIDIMC 2016
CountryUnited Kingdom
CityLoughborough
Period12/01/1613/01/16

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