业务模型驱动的应急物流本体知识表示及应用

发布时间：2018-01-06 01:08

本文关键词：业务模型驱动的应急物流本体知识表示及应用　出处：《西南交通大学学报》2015年03期 　论文类型：期刊论文

【摘要】：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.
[Abstract]:In order to solve the problem of heterogeneous information fusion and knowledge management faced by intelligent collaboration of emergency logistics, aiming at effective knowledge application, the business model and ontology model are used to map the correlation of components. According to the business reasoning rules required for system control and entity behavior constraints, the relationship between three modules and the four-stage transformation steps are designed, and a business model-driven ontology representation method is formed, which is based on this method. According to the requirements of emergency logistics field, an ontology model of emergency logistics is established, which is composed of concept set, concept attributes, semantic constraints, reasoning rules and so on. The result shows that the ontology model of emergency logistics and its application can realize the ontology fusion of heterogeneous information. The failure phenomenon of conventional retrieval based on keyword matching is eliminated and the execution condition of minimum path algorithm is satisfied. It provides knowledge support for emergency logistics decision model and algorithm application.
【作者单位】：后勤工程学院现代物流研究所;重庆邮电大学软件学院;
【基金】：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(2011jj A00008)
【分类号】：TP182;F252
【正文快照】： 近年来,各种自然灾害和突发性公共事件频发,应急物流保障任务繁重.现有应急物流指挥决策体系在应急事件保障过程中发挥了重要作用,但其本质上呈现信息系统辅助下的人工决策特点,决策效率较低[1].应急物流系统需要智能协作以提高科学性与敏捷性,智能协作的基础是知识,即各级应

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