Title :
Artificial Transportation System constrution based on ontology-based knowledge base systems
Author :
Chen, Songhang ; Zhu, Fenghua
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
Abstract :
Artificial Transportation Systems (ATS) provide a comprehensive perspective to study actual transportation systems, which are a kind of open and complex giant system referring to diverse engineering and social disciplines. To make use of achievements from related research fields, ontology for ATS is constructed in this paper. Besides conceptual model involved in modeling and applications of ATS, the compatibility with other ontology is considered. Further, an ontological knowledge base with SOA (Service-Oriented Architecture) is designed to manage information and knowledge in ATS. The architecture and interfaces of the knowledge base are presented. Benefit from this, construction and applications of ATS can be conducted on a uniform information and knowledge platform. A case study about traffic jam pattern is demonstrated.
Keywords :
information management; knowledge based systems; knowledge management; ontologies (artificial intelligence); open systems; service-oriented architecture; traffic engineering computing; transportation; ATS; SOA; artificial transportation system construction; compatibility; complex giant system; diverse engineering; information management; knowledge management; ontological knowledge base; ontology-based knowledge base systems; open system; research fields; service-oriented architecture; social disciplines; traffic jam pattern; Cognition; Computational modeling; Generators; Image color analysis; Ontologies; Transportation; SOA; agent; artificial transportation systems; knowledge base; ontology;
Conference_Titel :
Service Operations and Logistics, and Informatics (SOLI), 2012 IEEE International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4673-2400-7
DOI :
10.1109/SOLI.2012.6273532
