Interval-gap-based logistics time ontology modeling and validation for Decision Support

In the last few years, ontologies have been successfully exploited by Decision Support Systems to represent knowledge and reason to take a decision. In this paper, an interval-gap-based logistics time ontology is modeled to represent the temporal knowledge in logistics for logistics decision support systems. The method to build time ontology for logistics is specified, and then linking properties are defined to link temporal knowledge and other knowledge in logistics. To make sure the logistics time ontology is properly built, the validation is illustrated to detect the conflict and violation.