The coordination of the information flows within and across companies participating in a supply chain
is vital to any product development projects. To support meaningful information sharing, software
applications must be able to convey and understand the semantics among each other. Current developments
of interoperability standards, although they do provide the means of communication among the tools within
a narrowly defined domain, do not resolve the complex interoperability issues in a supply chain, which
typically involves information and service integration across multiple disciplines. This research project
aims to address this fundamental problem by developing
1) a formal methodology to resolve the semantic
similarities and differences among the standards, thus allowing meaningful data exchange across disciplines;
2) a framework to support coordination and integration
of distributed engineering services.
The AEC supply chain is fragmented in the same way as most information management processes in the industry are.
As the current practice indicates, having information available as needed can significantly reduce lead-time as well as increase
accountability for tracking purpose. More...
For various model rebuilding and data exchange purposes, comparison and mapping between heterogeneous ontologies in the same
industry are often inevitable. A new approach to map OmniClass and IfcXML, two of the most commonly used data models for buildings
and constructions has been demonstrated. More...
In the coming future, we hope to extend our research to:
Include more engineering workflows and applications;
Apply on a broader domain of ontologies;
Consider the reliability and user-friendiness of the distributed service coordination framework;
Handle the security issue of the information sharing network system.