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Ontology based reasoning for solving passenger train optimization problem

The Logistic processes generally lead to complex physical flows dealing with various logistic elements. It has been widely observed that the quality of uncontrolled processes decline with the evolving complexity. It may make them incoherent and quasi obsoletes. Thus, the continuous optimization of logistic processes is essential for the consistent continuity of logistic activities, and henceforth, it supports their desired growth. In this paper, we propose a reasoning system that uses the conceptual domain of logistics and their optimization. The proposed approach is mainly based on the definition of logistic terminologies using ontology. We intend, that a logistic expert may use defined terms to specify a problem. These can be matched to extract the involved logistic processes. It may assist a logistics expert to identify and/or precisely specify the logistic problem. Furthermore, it may identify the logistic processes, that can be executed, to resolve the problem and consequently to resolve the inherent optimization problems. We have been experimenting the different solutions of the Passenger Transportation Problem and eventually built a software framework (based on the composition of web services), to semi-automatically assist the resolution procedure of identified optimization problems.