Integration of ifc objects and facility management work information using Semantic Web

Integration of ifc objects and facility management work information using Semantic Web The management of information throughout a building's lifecycle is becoming increasingly important, and building information modeling (BIM) is often used to ensure the interoperability of data. However, BIM-based facility information from the construction phase is difficult to access and use during the operation and maintenance phase. This occurs because the BIM information is not utilized well in facility management (FM). In this research, we propose an approach to effectively manage BIM-based FM information by linking the BIM-based building elements and FM work information in an FM system database. We present a Semantic Web-based FM information system that semantically links BIM data to relevant historical work records. The proposed ontology was evaluated using a sample dataset of the architectural maintenance work records of an office building. Using the proposed approach, facility managers will be able to increase their efficiency in searching related work records that consider shared BIM objects by enhancing the interoperability and accessibility of FM data via the Semantic Web. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automation in Construction Elsevier

Integration of ifc objects and facility management work information using Semantic Web

Loading next page...
 
/lp/elsevier/integration-of-ifc-objects-and-facility-management-work-information-5RLkuH62FJ
Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0926-5805
D.O.I.
10.1016/j.autcon.2017.12.019
Publisher site
See Article on Publisher Site

Abstract

The management of information throughout a building's lifecycle is becoming increasingly important, and building information modeling (BIM) is often used to ensure the interoperability of data. However, BIM-based facility information from the construction phase is difficult to access and use during the operation and maintenance phase. This occurs because the BIM information is not utilized well in facility management (FM). In this research, we propose an approach to effectively manage BIM-based FM information by linking the BIM-based building elements and FM work information in an FM system database. We present a Semantic Web-based FM information system that semantically links BIM data to relevant historical work records. The proposed ontology was evaluated using a sample dataset of the architectural maintenance work records of an office building. Using the proposed approach, facility managers will be able to increase their efficiency in searching related work records that consider shared BIM objects by enhancing the interoperability and accessibility of FM data via the Semantic Web.

Journal

Automation in ConstructionElsevier

Published: Mar 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial