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Lookup NU author(s): Dr Gaihua Fu
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Data is a valuable asset to our society. Effective use of data can enhance productivity of business and create economic benefit to customers. However with data growing at unprecedented rates, organisations are struggling to take full advantage of available data. One main reason for this is that data is usually originated from disparate sources. This can result in data heterogeneity, and prevent data from being digested easily. Among other techniques developed, ontology based approaches is one promising method for overcoming heterogeneity and improving data interoperability. This paper contributes a formal and semi-automated approach for ontology development based on Formal Concept Analysis (FCA), with the aim to integrate data that exhibits implicit and ambiguous information. A case study has been carried out on several non-trivial industrial datasets, and our experimental results demonstrate that proposed method offers an effective mechanism that enables organisations to interrogate and curate heterogeneous data, and to create the knowledge that meets the need of business.
Author(s): Fu G
Publication type: Article
Publication status: Published
Journal: Information Processing & Management
Print publication date: 01/09/2016
Online publication date: 14/03/2016
Acceptance date: 22/02/2016
Date deposited: 22/03/2016
ISSN (print): 0306-4573
ISSN (electronic): 1873-5371
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