An Ontology-Based Knowledge Evolution Mechanism to Support the Adaptive Design of Autonomous Transportation System
Linlin You, Minghui Fang, Meng Zhou, Hongli Li, Mai HAO, Shaowu Cheng, Ming Cai · CICTP 2022 · 2022
Along with the transformation of transportation system toward autonomous transportation system (ATS), which impels its ability on intelligence and automation consistently and gradually, how to reasonably analyze the evolution across its development stages is essential to support an orderly development. Since the data explodes in the information era, contexts encoded in related knowledge bases become even more complex to be analyzed for the extraction of evolution details. To tackle such a challenge, an evolution analysis mechanism based on the knowledge graph (KG) is proposed to support knowledge modeling, evolution analysis, and information extraction. Moreover, through an evaluation based on a common set of KGs designed to store information about technologies, functions, and services to support autonomous driving in different levels, the merits of proposed mechanism are revealed in detecting more accurate evaluations with a reduced number of operations to rebuild the evolutions across KGs.