面向个性化需求的云物流资源语义匹配方法研究及应用

发布时间：2018-03-12 07:20

本文选题：云物流　切入点：本体　出处：《重庆大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着云计算、物联网、Web技术和面向服务的物流理念的出现和发展,诞生了一种新的物流服务模式——云物流。云物流是一种新的基于云计算的物流资源配置和管理服务模式,它利用IT技术将物流资源虚拟成云池,客户通过互联网等按需获取,按需付费,动态地满足客户的物流需求。云物流服务模式为我国物流企业,尤其是中小物流企业,实现智能化、开放性和生态型服务开拓了新思路。然而,用户在使用云物流服务过程中,面对云物流平台上海量物流资源,很难高效、准确地搜索到满足其个性化需求的资源,这对云物流服务模式的推广产生了不利影响。因此,如何针对用户的个性化需求快速、准确地搜索到物流资源是云物流服务面临的一个关键问题。根据云物流资源特征,本文将云物流资源匹配问题与Web服务匹配相结合,通过引入语义技术,提高云物流资源匹配的效率和精确度,并分析客户个性化需求,提出一种新的面向客户个性化需求的云物流资源语义匹配方法。首先,阐述了云物流及云物流资源匹配及其使用技术、方法的相关概念和现状,给出了本文的研究对象和研究目的,根据云物流服务平台各方需求,构建了云物流资源领域本体,并建立了云物流资源语义匹配数学模型,提出了云物流资源的三阶段语义匹配流程。其次,根据云物流资源语义匹配数学模型,给出了其实现方法及量化方法,设计了三阶段语义匹配方法,即基于闭合世界假设(Closed World Assumption,CWA)的过滤性推理,基于综合语义相似度的本体概念匹配及基于Qo S的云物流资源客户偏好排序三阶段语义匹配方法。此外,为了实现云物流资源的语义匹配,设计了包含物理层、虚拟层、匹配层和客户层的语义匹配原型系统架构,从四个部分对原型系统框架进行阐述;并对框架中的关键功能模块,即注册模块、本体模块、储存模块、推理模块和语义匹配模块进行分析。最后,基于本文提出的云物流资源语义匹配方法,利用一个实际的商品车配送任务验证本文提出的语义匹配方法的可行性和有效性。
[Abstract]:With the emergence and development of cloud computing, Internet of things Web technology and service-oriented logistics concept, a new logistics service model, cloud logistics, is born. Cloud logistics is a new logistics resource allocation and management service model based on cloud computing. It makes use of IT technology to virtual logistics resources into a cloud pool, customers through the Internet and other on-demand access, on-demand payment, dynamically meet customer logistics needs. Cloud logistics service model for our logistics enterprises, especially small and medium-sized logistics enterprises, The realization of intelligent, open and ecological services has opened up a new way of thinking. However, in the process of using cloud logistics services, it is difficult for users to find resources that meet their personalized needs efficiently and accurately in the face of the cloud logistics platform Shanghai quantity logistics resources. Therefore, how to search the logistics resources quickly and accurately is a key problem for cloud logistics service, according to the characteristics of cloud logistics resources. This paper combines the problem of cloud logistics resource matching with Web service matching, improves the efficiency and accuracy of cloud logistics resource matching by introducing semantic technology, and analyzes customer personalized requirements. A new semantic matching method for cloud logistics resources is proposed. Firstly, the concepts and present situation of cloud logistics and cloud logistics resources matching and their usage techniques are described. The research object and purpose of this paper are given. According to the requirements of cloud logistics service platform, the domain ontology of cloud logistics resources is constructed, and the mathematical model of semantic matching of cloud logistics resources is established. The three-stage semantic matching process of cloud logistics resources is proposed. Secondly, according to the mathematical model of semantic matching of cloud logistics resources, the realization method and quantification method are given, and the three-stage semantic matching method is designed. That is, filter reasoning based on closed World summation, ontology concept matching based on comprehensive semantic similarity and three-stage semantic matching method of cloud logistics resource customer preference ranking based on QoS. In order to realize semantic matching of cloud logistics resources, the prototype system architecture of semantic matching including physical layer, virtual layer, matching layer and client layer is designed. That is, registration module, ontology module, storage module, reasoning module and semantic matching module. Finally, based on the cloud logistics resources semantic matching method proposed in this paper, A practical vehicle distribution task is used to verify the feasibility and effectiveness of the semantic matching method proposed in this paper.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP391.1;F259.23

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