Title: Managing data using an ontology for enterprise decision making: a case of the World Bank

Authors: Tengku Adil Tengku Izhar; Torab Torabi; Trieu Minh Nhut Le

Addresses: Faculty of Information Management, Universiti Teknologi MARA, Puncak Perdana, Selangor, 40150, Malaysia ' Department of Computer Science and Information Technology, La Trobe University, Victoria, 3086, Australia ' Department of Computer Science and Computer Engineering, Saigon University, Ho Chi Minh City, 273, Vietnam

Abstract: People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of big data. The challenge is how to capture this data and analyse this data into useful information for the specific organisation activities because determining relevant data is a key to delivering value of information. In this paper, we describe big data in information spectrum to identify relevant data from large collection of big data to assist information professionals with useful information for decision-making process. We illustrate the relationship between big data and information spectrum using an ontology. Case study is applied using data from the World Bank. The results from the case study demonstrate how we incorporate big data and information spectrum using an ontology to provide a platform to extra value from large datasets.

Keywords: big data; information professionals; information spectrum; ontologies; organisational goals; the World Bank.

DOI: 10.1504/IJDS.2018.096266

International Journal of Data Science, 2018 Vol.3 No.4, pp.326 - 352

Accepted: 30 May 2017
Published online: 16 Nov 2018 *

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