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Start Date

16-8-2018 12:00 AM

Description

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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Aug 16th, 12:00 AM

Classifying Big Data Technologies - An Ontology-based Approach

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.