Cloud Based Enterprise Global Ontology For Information Enterprise: A Proposed Framework

Authors

  • Tengku Adil Tengku Izhar Faculty of Information Management Universiti Teknologi MARA, UiTM Shah Alam, Selangor, Malaysia
  • Bernady O. Apduhan Faculty of Information Science Kyushu Sangyo University,

Keywords:

big data, cloud, enterprise, information retrieval, ontology

Abstract

Big Data in organizations have transformed the way organizations across industries implement new approach to handle huge amount of data. 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 deliver information from massive amounts of data. The aim of this paper is to integrate external data using an ontology to capture relevant information for efficient decision-making. In order to achieve this aim, we tackle the literature to incorporate cloud and ontology to retrieve external data such as social media and internal data such as organizational data. The results can lead to some new evaluation methods in big data era from different perspectives. The outcome will offer an enormous opportunity to advance the science of data analytics so that future researchers will have a new understanding on what is needed to improve their data analysis process. The research benefit nation, economy and society. The conduct of this survey will ensure the projects agility in responding to unfolding events, and substantially enhance its ability to engage in and impact on organizations and societies.

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Published

2018-01-01

How to Cite

Tengku Adil Tengku Izhar, & Bernady O. Apduhan. (2018). Cloud Based Enterprise Global Ontology For Information Enterprise: A Proposed Framework. International Journal of Computer Information Systems and Industrial Management Applications, 10, 9. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/363

Issue

Section

Original Articles