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
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