A semantically-enabled system for road sign management

Abstract

The road sign is an important facility which manages the road traffic safety and eases the road traffic congestion. This paper proposes a Semantically-enabled System for Road Sign Management (SeRSM). The SeRSM system is built based on LarKC, which is a platform for scalable semantic data processing. In the SeRSM system, the users can select the corresponding operations through the interface integrated with a map service. These operations are sent to Jetty server for corresponding processing. They include sending some SPARQL query to invoke the corresponding workflow in the LarKC platform and to retrieve and reason the massive data stored in the data layer of LarKC and to return the result to the Jetty server. The paper made a full description of technical points such as the design objective, data sources, data integration, noisy data processing, detection of road consistency effectiveness. It also describes the system’s user interface and basic functions in the end. The SeRSM has great value and social significance for improving traffic efficiency and traffic safety through successful applications in Zhenjiang and Yiwu in China.