Ontology-based service composition framework for syndicating building intelligence

Wei Tek Tsai, Yann-Hang Lee, Avi Wiezel, Xin Sun, Wu Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Building Information Model (BIM) encompasses building geometry, spatial relationships, geographic information, and quantities and properties of building components[1]; however, it does not include any information related to the functions that a building might require. On the other side, Service-Oriented computing emerged as a promising technology to enable fast, efficient software development. Even though features such as standard protocols, loosely coupled components, ontology-enabled dynamic discovery and composition of SOA seems a perfect fit for the building construction domain, the potential gain of applying SOA techniques has not really been discovered. In the paper, an ontology-based service composition framework for construction domain is proposed, and BIM is extended to include function requirements and service specifications. An example is shown to demonstrate the advantages over traditional techniques also.

Original languageEnglish (US)
Title of host publication2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009
Pages445-452
Number of pages8
DOIs
StatePublished - Nov 17 2009
Event2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009 - Vienna, Austria
Duration: Jul 20 2000Jul 23 2009

Publication series

Name2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009

Other

Other2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009
CountryAustria
CityVienna
Period7/20/007/23/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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    Tsai, W. T., Lee, Y-H., Wiezel, A., Sun, X., & Li, W. (2009). Ontology-based service composition framework for syndicating building intelligence. In 2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009 (pp. 445-452). [5210762] (2009 IEEE Conference on Commerce and Enterprise Computing, CEC 2009). https://doi.org/10.1109/CEC.2009.89