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物流信息语义匹配研究

Research on Semantic-based Logistics/MF Information Matching

【作者】 陈立

【导师】 鞠颂东;

【作者基本信息】 北京交通大学 , 管理科学与工程, 2011, 博士

【摘要】 随着信息和网络技术的飞速发展,物流信息网络化发展的趋势日益显著,物流信息平台对资源整合的作用日益突出。然而由物流信息管理多元化导致的物流信息异构问题,使得物流信息平台之间难以进行有效的信息共享。如何解决平台间的异构问题,促进社会物流资源整合成为学术界和企业界共同关注的问题。本论文借鉴语义学理论,利用本体技术,研究如何在屏蔽底层管理多元化的基础上,实现物流信息语义层面的共享应用,为物流网络化运作提供支持,从而提高物流资源共享效率和物流网络运作水平。纵观已有物流信息共享的相关研究,关注企业内信息集成和企业间系统结构异构的研究较多,缺乏对语义异构问题的研究和突破。本论文在概念语义学,物流信息网络理论、语义Web服务技术、本体理论、物流服务质量管理等知识的指导下,通过定性与定量分析相结合,实证分析与系统实验互补的方法得到了以下主要的结论:1.物流资源网络化整合是解决我国物流业现存问题并实现可持续发展的有效途径。利用物流信息平台将物流网络与现代信息和网络技术有机融合的发展模式有助于实现物流资源的网络化整合与利用。2.物流信息管理多元化是导致物流信息语义异构的主要原因,实现屏蔽多元化管理标准的物流信息语义匹配是实现物流信息共享的有效解决办法。利用概念语义学,语义Web服务和本体技术设计的物流信息语义描述模型和匹配模型,能够解决物流信息语义异构问题,实现物流公共信息平台间的信息共享,提高物流服务发现和物流资源整合的效率。3.利用本体技术和语义Web服务构建的物流领域本体和物流服务本体是实现物流信息语义匹配的基础。与物流信息网络层次结构相适应的物流领域本体布局和应用体系保证语义匹配具有实际可操作性。4.具有QOS的物流服务发现算法能够体现物流服务匹配的特征,符合用户选择物流服务的需求标准。逐层逼近的算法设计思想能够减小物流信息匹配的运算量,提高物流服务的发现效率。总体而言,全文以如何实现异构平台间的物流信息语义共享为研究内容,充实了物流信息网络理论体系,完善了物流网络理论的工程基础理论研究。概念语义学,语义Web服务和本体技术的运用也为同类型问题开辟了新的解决思路。本文中共有图50幅,表27个,参考文献162篇。

【Abstract】 With the development of network and information technology technologies, the importance of logistics/MF platforms on resources integration increases rapidly. Because of the diversification of logistics information management mechanism, the information exchanging and sharing are not smoothly as espected. Both academic researchers and industrial participants showed a big interest on how to solve the heterogeneous problem and realize the information interaction. By introducing Semantic Theory and Ontology Technology, this research is trying to solve the semantic-based logistics services discovery without entrapping into the information management diversity, which will improve the operational efficiency of logistics/MF network and the service level of logistics/MF network.Existed studies are mainly forcused on information integration of with one Logistics Company, such as the structure heterogeneous problem between sub information systems. Based on Semantic Theory, Logistics/MF Information Network Theory, Ontology Theory, Logistics Service Quality Management knowledge, this dissertation achieved some conclusions as follows:1. Networking and integration of logistics resources is the effective method to solve the existed problems and support sustainable development of Chinese logistics industry. Logistics information platform has a positive effect on improving the efficiency of logistics resources integration.2. The reason behind the semantic heterogeneity is diversity of logistics information management. In order to exchange information, the semantic description model and matching model of logistics information are designed which is based on Conceptual Semantics Theory, Semantic Web Service and Ontolgoy technology. By using these models, semantic heterogeneity of logistics information can be solved. At the meanwhile, the information sharing between different logistics platforms can be achieved to increase the efficiency of logistics service discovery and reseource integration.3. The logistics domain ontology and logistics service ontology based on existing semantic web service standard are the foundation of semantic matching of logistics information. Given the development trend of logistics/MF information network, this study proposes the application structure of logistics/MF domain ontology, which is applicable and operable for logistics industry.4. This approach designs a matching arithmetic which includes quality variables of logistics/MF services, because of that the service quality is important for logsitcs service chosing. Meanwhile, this study decreases the computational complexity by dividing the matching arithmetic into3layers.To sum up, this approach focuses on the semantic heterogenous information sharing between different logistics platforms. This study takes an important part of the integrity of Logistics Information Network Theory. Theoretically, this study belongs to the engineering basic theory study of Logistics Network Theory. The introducing of Conceptual Semantic Theory, Semantic Web Service and Ontology technology broaden the existed research methods for studing similar questions.There are50figures and27tables in the dissertation, and162reference documents.

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