A Traffic Information Processing Method Based on Unified Semantic Understanding

Abstract

The invention relates to a traffic information processing method based on uniform semantic comprehension. The method is used for achieving uniform semantic comprehension by recording traffic information words in a central information register book and specifically comprises the following steps: (1) establishing the central data register book, and recording the traffic information words in the central information register book; (2) establishing an ontology base, and converting the traffic information words into formats which can be read by people and machines; (3) establishing a traffic information cloud service platform, and issuing the traffic information service according to the traffic information words in the central information register book and the ontology base; (4) establishing a service semantic retrieval module, and providing information retrieval service for a service requester. Compared with the prior art, the traffic information processing method has the advantages that the data in a traffic state information platform is unified, and the like.

Description

technical field [0001] The invention relates to the field of intelligent traffic system integration, in particular to a traffic information processing method based on unified semantic understanding. Background technique [0002] In the process of traffic information system construction, due to the lack of unified coordination and planning within the city and between cities, system builders often only focus on the realization of a single business, and are relatively deficient in management and other aspects, resulting in the existing traffic information system. Due to the structural characteristics, it is difficult to realize information sharing and use among multiple departments, and the interoperability of traffic information systems is poor. Improving the interactive understanding between information systems and realizing the comprehensive utilization and sharing of various massive, multi-source and multi-dimensional traffic data is an urgent task for the construction of t...

AI Technical Summary

Problems solved by technology

However, the current methods mostly focus on the representation method of urban traffic ontology, modeling research or intelligent transportation system framework design, and the research on unified semantic understanding based on ontology is less in system application. There is no public literature and corresponding technical support. Therefore, the unified semantic understanding method of traffic status information based on the central data registry is very important for realizing the unification of data in the intelligent transportation system platform, improving the openness of the system, and improving the traffic status in the field of intelligent transportation. Unified semantic understanding of information is of great significance

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