节点文献
制造科学数据共享平台及其服务定制的研究与应用
Research and Application of Manufacturing Science Data Sharing Platform and Its Service Customization
【作者】 郑宇;
【导师】 严隽琪;
【作者基本信息】 上海交通大学 , 机械制造及其自动化, 2007, 硕士
【摘要】 作为知识重要来源之一的科学数据,是信息时代最活跃的创新资源,要实现科学数据资源价值的最大化,充分共享、整合和广泛使用科学数据成为必要途径。因此如何支持各类科学数据共享服务快速、便捷地实现成为目前研究的热点问题之一。而制造领域科学数据的多元性、离散性、交叉性,给该领域科学数据共享的实现带来了新的问题。在此背景下,本文针对制造领域科学数据的特点及在国内的应用现状,并结合上海市科委《制造领域科学数据共享服务平台的建设》项目的实际需求,提出了以面向服务的制造科学数据共享平台为依托、以专业服务定制的方式为手段来实现制造科学数据的共享。主要研究内容包括:1)在分析国内制造领域科学数据现状和应用特点的基础上,提出了面向服务的制造领域科学数据共享服务平台的框架,该框架包括了三个主要支撑环境:平台支撑与管理环境、制造科学数据服务支撑环境、数据资源注册与服务定制环境,并指出了数据资源注册与服务定制环境是快速实现共享服务的重要支撑。2)研究了数据资源模型和面向定制的专业服务模型,给出了这两种模型的元组表达、结构化描述以及实体/业务模型。3)研究了数据资源注册及服务定制流程并实现了其中的关键技术:定义了数据资源注册过程的三个核心业务流程;详细描述了两类专业服务(跨库检索服务和计算加载服务)基于XML模版的定制过程;定义了服务模版的释义引擎;详细描述了服务生成器的工作原理和工作过程。4)开发了基于.Net平台的数据资源管理与服务定制系统。并将开发的系统应用于钢铁冶金专题数据资源库,以物性综合查询和相关系数
【Abstract】 Today data has become necessary to all the activities, such as academic and R&D activity. Scientific data, as one of the most important knowledge source, is the most active and innovative resource. So, to find a fast and convenient way to share the scientific data in the manufacturing field is one of the most kernel issues in the current research.On the basis of analyzing the current situation of scientific data in the domestic manufacturing field and its application features, this article puts forward a service oriented framework of the scientific manufacturing data share platform. The platform includes three major supporting environments: platform supporting and management environment, scientific manufacturing data service supporting environment, resource management and service customization environment. The article mainly focuses on the resource management and service customization environment and its system realization.First, the article studies two kinds of resource model in scientific manufacturing data resource management and service customization environment. They are the data resource model and the professional service model,and give the meta-group expression, structural description and entity model for the two models.Second, the article studies the process of the scientific manufacturing data share service customization and its key technologies. And define three core business procedures for resource registration process; describe xml template for the two professional service models, multi-database search and calculation
【Key words】 Scientific data share; Data Service platform; Data service customization; Service parsing and generating;
- 【网络出版投稿人】 上海交通大学 【网络出版年期】2007年 06期
- 【分类号】TP311.52
- 【被引频次】1
- 【下载频次】291