Advances in semantic web research in recent years offer an opportunity for heterogeneous objects to exchange data and information in an interoperable way to make data and services machine-accessible and machine-processable. This paper describes a semantic web vision for an intelligent community transport service brokering system. The use of ontological approach to develop a semantic web brokering system opens up the data set for agent-based planning in reservation and scheduling. As ontologies are the building blocks of the semantic web and small simple ontologies are often constructed individually by different users, ontology integration approach is proposed to achieve data interoperability in the proposed system. An application scenario is used to demonstrate how the semantic web based system will be used. Future research of this project is to construct the community transport service ontology to conduct proof of concept for the intelligent brokering system.
Lau, S. Kim., Zamani, R. & Susilo, W. (2016). A semantic web vision for an intelligent community transport service brokering system. IEEE International Conference on Intelligent Transportation Engineering (ICITE) (pp. 172-175). United States: IEEE.