基于语义的物流云服务发现技术研究  

Logistics cloud service discovery technology research based on semantics

作　　者：张水旺[1] 王涌[2] 胡小建[1] 

机构地区：[1]合肥工业大学管理学院,合肥230009 [2]海南大学三亚学院,海南三亚572022

出　　处：《计算机应用研究》2015年第11期3399-3403,共5页Application Research of Computers

基　　金：2013年安徽省教育厅人文社科重大项目(SK2013D08)

摘　　要：针对云物流系统中物流云服务的发现需求,依据本体论的基本原理和云物流系统中云服务和物流任务的特点,给出了物流云服务和云物流任务的本体形式化描述方法,设计了物流云服务发现模型的流程图。同时构建了物流云服务领域本体,提出了整合语义解析、本体推理、功能匹配算法和非功能匹配算法的物流云服务发现算法,该算法在不同阶段设置不同阈值,过滤低于阈值的服务,减少下一阶段物流云服务的匹配样本数量,从而降低运算复杂度。通过算例验证了该算法的可行性,结果表明,该算法能够在降低运算难度的同时较好地完成物流云服务的发现。Aiming to the requirements of logistics cloud service discovery in cloud logistics systems, this paper gave the ontology formalization method for the logistics cloud services and cloud logistics task, and designed the flow chart of the logistics cloud service discovery model based on the basic principle of ontology and the characteristics of the cloud service and logistics task in cloud logistics systems. Then built the logistics cloud service domain ontology, proposed the logistics cloud service discovery algorithm, which was integrating semantic parsing, ontology reasoning, function matching algorithm and non-function matching algorithm. In order to reduce the matching samples quantity in next matching stage and the computation complexity, the algorithm set different thresholds in different stage to filter out those services below the thresholds. Finally, this paper used a case to verify the feasibility of proposed algorithm. Results show that the proposed algorithm can well complete the task of logistics cloud services discovery and reduce the operation difficulty.

关 键 词：物流云服务 形式化描述 服务发现 领域本体 语义 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]