A Cyber-Physical System (CPS) facilitates the embedding of computational intelligence, communication, control, and new mechanisms for sensing and actuation into physical systems, such as the transportation infrastructure. They are a combination of computation and physical processes each affecting the outcome of the other. The wireless networked CPS sensors are envisaged to provide rapid response capabilities such as real time analysis, distributed coordination, classify events, condition based maintenance etc, to make critical decisions in networked transportation systems. To achieve the above it is required to fuse data from multiple heterogeneous sensors data. However, such ability is currently impeded by a lack of expressive and standardized syntactic and semantic models for the sensors data for proper exchange of information with the cyber and physical applications. One of the important challenges of a cyber-physical system is the transmission, processing, and analysis of the data. The Open GIS Consortium, Inc. (OGC) is creating and testing a framework to maximize the discoverability and interoperability of sensor systems through standard Web-based services. We propose to adopt an information semantic approach to facilitate the resource and knowledge discovery in Transportation Cyber-Physical Systems and enable the use of real or near real time data derived from these sensor networks, and dynamic selection and aggregation of multiple sensor systems, and other decision support systems in a web services-based environment.