业务模型驱动的应急物流本体知识表示及应用

为解决应急物流智能协作面临的异构信息融合与知识管理难题,以有效知识应用为目标,利用业务模型与本体模型对组成构件上的相关性进行映射,并根据系统控制与实体行为约束所需的业务推理规则,设计了3种模块之间的关系与四阶段转换步骤,形成了业务模型驱动的本体表示方法.以该方法为基础,结合应急物流领域需求,建立了由概念集合、概念属性、语义约束、推理规则等要素组成的应急物流本体模型.通过应急配送路径选择案例,自动推理得到可替代邻近点以完成配送路径求解.结果表明,应急物流本体模型及其应用实现了异构信息的本体融合,消除了以关键词匹配为基础的常规检索失效现象,满足了最小路径算法的执行条件,为应急物流决策模型及算法应用提供了知识层面的支持. 

Business Model-Driven Ontology Knowledge Representation and Application for Emergency Logistics

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.