%0 Conference Proceedings
%T Incorporating Big Data Analytics into Enterprise Information Systems
%+ PNG University of Technology
%+ Hebei Normal University
%A Sun, Zhaohao
%A Pambel, Francisca
%A Wang, Fangwei
%Z Part 10: Big Data and Text Mining
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS)
%C Daejon, South Korea
%Y Ismail Khalil
%Y Erich Neuhold
%Y A Min Tjoa
%Y Li Da Xu
%Y Ilsun You
%I Springer
%3 Information and Communication Technology
%V LNCS-9357
%P 300-309
%8 2015-10-04
%D 2015
%R 10.1007/978-3-319-24315-3_31
%K Big data
%K Big data analytics
%K Enterprise information systems
%K Business intelligence
%K Intelligent agents
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Big data analytics has received widespread attention for enterprise development and enterprise information systems (EIS). However, how can it enhance the development of EIS? How can it be incorporated into EIS? Both are still big issues. This paper addresses these two issues by proposing an ontology of a big data analytics. This paper also examines incorporation of big data analytics into EIS through proposing BABES: a model for incorporating big data analytics services into EIS. The proposed approach in this paper might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence as well as intelligent agents.
%G English
%Z TC 5
%Z TC 8
%Z WG 8.9
%2 https://inria.hal.science/hal-01466248/document
%2 https://inria.hal.science/hal-01466248/file/978-3-319-24315-3_31_Chapter.pdf
%L hal-01466248
%U https://inria.hal.science/hal-01466248
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-WG8-9
%~ IFIP-LNCS-9357
%~ IFIP-CONFENIS