Semi Automated Transformation to OWL Formatted Files as an Approach to Data Integration: A Feasibility Study Using Environmental, Disease Register and Primary Care Clinical Data

Liang, Shao Fen and Taweel, A. and Miles, S. and Kovalchuk, Yevgeniya and Spiridou, Anastassia and Barratt, B. and Hoang, Uy and Crichton, Siobhan and Delaney, Brendan and Wolfe, Charles (2015) Semi Automated Transformation to OWL Formatted Files as an Approach to Data Integration: A Feasibility Study Using Environmental, Disease Register and Primary Care Clinical Data. Methods of Information in Medicine, 54 (1). pp. 32-40. ISSN 0026-1270

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Abstract

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”.

Background: Data heterogeneity is one of the critical problems in analysing, reusing, sharing or linking datasets. Metadata, whilst adding semantic description to data, adds an additional layer of complexity in the heterogeneity
of metadata descriptors themselves. This can be managed by using a predefined model to extract the metadata, but
this can reduce the richness of the data extracted.

Objectives: to link the South London Stroke Register (SLSR), the London Air Pollution toolkit (LAP) and the Clinical Practice Research Datalink (CPRD) while transforming data into the Web Ontology Language (OWL) format.

Methods: We used a four-step transformation approach to prepare meta-descriptions, convert data, generate and update meta-classes and generate OWL files. We validated the correctness of the transformed OWL files by issuing queries and assessing results against the original source data.

Results: We have transformed SLSR LAP and CPRD into OWL format. The linked SLSR and CPRD OWL file contains 3644 male and 3551 female patients. The linked SLSR and LAP OWL file shows that there are 17 out of 35
outward postcode areas, where no overlapping data can support further analysis between SLSR and LAP.

Conclusions: Our approach generated a resultant set of transformed OWL formatted files, which are in a query-able format to run individual queries, or can be easily converted
into other more suitable formats for further analysis, and the transformation was faithful with no loss or anomalies. Our results have shown that the proposed method provides a promising general approach to address data
heterogeneity.

Item Type: Article
Uncontrolled Keywords: Informatics, knowledge, semantics, data linkage, OWL ontology
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cyber Security
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: $ Ian McDonald
Date Deposited: 26 Jan 2017 13:09
Last Modified: 26 Jan 2017 13:09
URI: http://www.open-access.bcu.ac.uk/id/eprint/3833

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