An Ontology-Based Data Integration Framework for Construction Information Management

Abiodun Gideon Akinyemi, Ming Sun, Alasdair J. G. Gray

Research output: Contribution to journalArticle

2 Citations (Scopus)
19 Downloads (Pure)

Abstract

Information management during the construction phase of a built asset involves multiple stakeholders using multiple software applications to generate and store data. This is problematic as data comes in different forms and is labour intensive to piece together. Existing solutions to this problem are predominantly in proprietary applications, which are sometimes cost prohibitive for small engineering firms; or conceptual studies with use cases that cannot be easily adapted. In view of these limitations, this research presents an ontology-based data integration framework that makes use of open source tools that support Semantic Web technologies. The proposed framework enables: rapid answering of queries over construction data integrated from heterogeneous sources; data quality checks; and reuse of project software resources. The attributes and functionalities of the proposed solution align with the requirements common to small firms with limited information technology skill and budget. Consequently, this solution can be of great benefit for their data projects
Original languageEnglish
Pages (from-to)111-125
Number of pages15
JournalProceedings of the ICE - Management, Procurement and Law
Volume171
Issue number3
Early online date14 Mar 2018
DOIs
Publication statusPublished - Jun 2018

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