西南交通大学学报Issue(3)：550-556,7.DOI:10.3969/j.issn.0258-2724.2015.03.026
业务模型驱动的应急物流本体知识表示及应用
Business Model-Driven Ontology Knowledge Representation and Application for Emergency Logistics
摘要
Abstract
To solve the problem of heterogeneous information integration and knowledge management in the emergency logistics intelligent collaboration,aiming at the effective knowledge application,an ontology modeling method was proposed by utilizing the internal mapping of components and the business inference rules between business model and ontology model,involving relations among three modules and a four-step transformation process. Based on the suggested modeling method, an emergency logistics ontology model composed of concept aggregation,concept attribute,semantic restriction,and reasoning rules was constructed. As a case study,an emergency distribution routing problem was addressed by implementing the ontology model and reasoning out the neighboring alternative nodes. The result shows that the proposed ontology model and its application can achieve the heterogeneous information integration with ontology,eliminating the conventional retrieval invalid phenomenon,satisfying the conditions of the shortest path routing,and providing the knowledge base for the emergency logistics decision-making model and its algorithm application.关键词
应急物流/本体/知识表示/建模/推理/决策支持Key words
emergency logistics/ontology/knowledge representation/modeling/inference/decision making分类
信息技术与安全科学引用本文复制引用
张立,王茜竹,宁亚辉,姜大立..业务模型驱动的应急物流本体知识表示及应用[J].西南交通大学学报,2015,(3):550-556,7.基金项目
国家自然科学基金资助项目（71101152）；重庆市自然科学基金资助项目 （）
