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[ACL15] Research on Big Data - Characterizing the Field and its Dimensions
Conférence Internationale avec comité de lecture : Advances in Conceptual Modeling, MOBID Workshop, Proceedings of ER2015 Workshops., October 2015, Vol. 9382, pp.173-183, Series Lecture Notes in Computer Science (LNCS), Stockholm, Suède, (DOI: 10.1007/978-3-319-25747-1_18)Mots clés: Big Data; Bibliometric Study ; Framework ; Artefact ; Usage ; Analytics
Résumé:
Big Data has emerged as a significant area of study for both practitioners and re-searchers. Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the top of the Gartner Hype Cycle, attesting the maturity level of this technology and its applications. The aim of this paper is to examine whether the Big Data research community reached the same level of maturity. For this purpose, we provide a framework identifying existing and emerging research are-as of Big Data. Current and past research in Big Data are analyzed using a bibli-ometric study of publications based on more than a decade of related academic publications. The results have shown that even if significant contributions have been made by the research community, attested by a continuous increase in the number of scientific publications that address Big Data, it lags behind entreprises’ expectations.
Equipe:
isid
BibTeX
| @inproceedings { | |||
| ACL15, | |||
| title | = | "{Research on Big Data - Characterizing the Field and its Dimensions}", | |
| author | = | " J. Akoka and I. Comyn-Wattiau and N. Laoufi ", | |
| booktitle | = | "{Advances in Conceptual Modeling, MOBID Workshop, Proceedings of ER2015 Workshops.}", | |
| year | = | 2015, | |
| month | = | "October", | |
| series | = | "Lecture Notes in Computer Science (LNCS)", | |
| volume | = | 9382, | |
| pages | = | "173-183", | |
| address | = | "Stockholm, Suède", | |
| doi | = | "10.1007/978-3-319-25747-1_18", | |
| } | |||
