To read this content please select one of the options below:

Utilising ontology for “heteregeneous data analysis in organizational goals”

Tengku Adil Tengku Izhar (Universiti Teknologi MARA, Puncak Perdana Campus, Shah Alam, Malaysia)
Bernady O. Apduhan (Kyushu Sangyo University, Fukuoka, Japan)
Torab Torabi (La Trobe University, Melbourne, Australia)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 27 November 2018

Issue publication date: 8 August 2019

77

Abstract

Purpose

The purpose of this paper is to assess the level of the organizational goal accomplishment by assessing the reliance relationship between organizational data and organizational goals.

Design/methodology/approach

The evaluation of the organizational goals is based on design and operational level, which can serve in ranking of the organizational goals achievement and hence assist the decision-making process in achieving the organizational goals. To achieve this aim, the authors propose an ontology to develop the relationship between organizational data and organizational goals.

Findings

Data goals dependency shows the dependency relationship between organizational data and organizational goals. At the same time, data goals dependency assists the process of identifying data attributes, where the authors suggest that these data attributes are relevant in relation to the organizational goals.

Originality/value

The contribution of this paper will serve as the first step to evaluate the relevance of organizational data to assist decision-making in relation to the organizational goals.

Keywords

Citation

Tengku Izhar, T.A., Apduhan, B.O. and Torabi, T. (2019), "Utilising ontology for “heteregeneous data analysis in organizational goals”", International Journal of Web Information Systems, Vol. 15 No. 3, pp. 310-323. https://doi.org/10.1108/IJWIS-05-2018-0046

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles