Akinyemi, A; Sun, M and Gray, A J G (2018) An ontology-based data integration framework for construction information management. Proceedings of Institution of Civil Engineers: Management, Procurement and Law, 171(3), pp. 111-125. ISSN 17514304
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 come in different forms and are 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | business; information technology; management |
| Index terms: | integration, built asset, information technology, functionality, engineering firm, ontology, construction phase, semantic web |
| Subjects: | asset management, networking, design features, firms, education and knowledge transfer, organizational analysis, computing systems, project delivery |
| Topics: | Design Practice, Digital Applications, Organizational Design, Research Practice, Business Strategy, Roles and Professions, Project Management |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here