A problem-oriented knowledge representation for logistics scheduling
Logistics scheduling in one of the key problems in e-Commerce logistics distribution and involves many complicated dynamic problems.Applying the theories of knowledge representation in Artificial Intelligence as well as knowledge Engineering,this paper focuses on enhancing the real-time,science and dynamic adaptability of logistics scheduling,and presents a forest-like knowledge representation on the basis of the tree-like knowledge representation.The forest-like representation includes two levels:the tree level and the forest level.The tree level is represented with knowledgebased tree-like representation and used to describe the sub-problems of logistics scheduling,while the forest level is used to choice corresponding trees through the ontology description of the relations of trees.It is very beneficial fro this research to set up a logistic scheduling system faced with dynamic environment,deepen researches in logistics scheduling.
Logistics Scheduling Knowledge Representation Reasoning Ontology
Liu weiguo Hu xiangpei
Dalian University of Technology
国内会议
沈阳
英文
383-391
2008-09-01（万方平台首次上网日期，不代表论文的发表时间）