Classifying Big Data Technologies - An Ontology-based Approach Completed Research

被引:0
作者
Volk, Matthias [1 ]
Pohl, Matthias [1 ]
Turowski, Klaus [1 ]
机构
[1] Otto von Guericke Univ, Fac Comp Sci, Magdeburg Res & Competence Cluster Very Large Bus, Magdeburg, Germany
来源
AMCIS 2018 PROCEEDINGS | 2018年
关键词
Big Data; Technologies; Classification; Ontology; KNOWLEDGE DISCOVERY; DESIGN SCIENCE; PRINCIPLES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The domain big data reached a productive status in recent years and is progressively being used. However, there are still many problems and challenges to overcome, especially when it comes to the selection and handling of relevant technologies. In consequence of a nearly endless number of manifestations in this area, rising year by year, not only the uncertainty increases. The lack of existing classification approaches causes a growing demand for more and more experts having a broad knowledge and expertise. Using various techniques of ontology engineering and the design science methodology, this paper attempts to find a promising solution. In particular, a reusable, extensible and adaptable artifact in the form of an ontology will be developed and evaluated. The proposed big data technology ontology (BDTOnto) aims to provide a sustainable approach classifying these kinds of technologies and their manifestations.
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页数:10
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