DocumentCode :
3063094
Title :
Ontology-Based Service Composition Framework for Syndicating Building Intelligence
Author :
Tsai, Wei-Tek ; Lee, Yann-Hang ; Wiezel, Avi ; Sun, Xin ; Li, Wu
Author_Institution :
Comput. Sci. & Eng. Dept., Arizona State Univ., Tempe, AZ, USA
fYear :
2009
fDate :
20-23 July 2009
Firstpage :
445
Lastpage :
452
Abstract :
Building information model (BIM) encompasses building geometry, spatial relationships, geographic information, and quantities and properties of building components; 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.
Keywords :
Web services; building; civil engineering computing; formal specification; ontologies (artificial intelligence); software architecture; BIM; building construction domain; building geometry; building information model; building intelligence; function requirement; geographic information; loosely coupled component; ontology-based service composition framework; service discovery; service specification; service-oriented computing; software development; spatial relationship; standard protocol; Application software; Building services; Costs; Disaster management; Intelligent structures; Object oriented modeling; Ontologies; Service oriented architecture; Smart homes; Software safety; BIM; Ontology; SOA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3755-9
Type :
conf
DOI :
10.1109/CEC.2009.89
Filename :
5210762
Link To Document :
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