期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2017
卷号：9
页码：9-22
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：People have access to more data in single day than most people that have access to data in the previous decade. Data are created in many forms and it highlights the development of big data. Big data in organizations have transformed the way organizations across industries implement new approach to handle huge amount of data. It means change in skills, structures, technologies and architectures. Organizations rely to this data to achieve specific business priorities. The challenge is how to capture this data to be considered relevant for the specific organization activities because determining relevant data is a key to delivering value from massive amounts of data. The aim of this paper is to evaluate the level of organizational goals achievement by incorporating social data and organizational data using an ontology. We investigate on how external data such as social media can support internal data such as organizational data for better decision-making in relation to the organizational goals. The results show that an ontology provides a platform to incorporate social data and organizational data.
关键词：big data; ontology; organizational data; social data; NodeXL; Twitter
