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A Knowledge Perspective on Big Data by Joining Enterprise Modeling and Data Analyses

Fill, Hans-Georg and Johannsen, Florian (2016) A Knowledge Perspective on Big Data by Joining Enterprise Modeling and Data Analyses. In: Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS), January 2016, Kauai, Hawaii.

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Abstract

In this paper we discuss how knowledge management can contribute to the analysis of big data by joining enterprise modeling methods with data analyses. The goal of this approach is to enable the seamless interaction and exchange of information between knowledge-oriented representations as provided by enterprise modeling on the one hand and methods for analyzing data on the other hand. For the ...

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Item type:Conference or workshop item (Paper)
Date:January 2016
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Related URLs:
URLURL Type
http://shidler.hawaii.edu/sites/shidler.hawaii.edu/files/users/tung.bui/hicss-49/hicss49-program-ks-151102.pdfCongress
Keywords:knowledge management, big data, enterprise modeling method, metamodeling, ADOxx, R toolkit, business process improvement, RUPERT tool
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:33134
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