0


EIAW：面向使用语义Web技术的业务友好型数据仓库

EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies
课程网址: http://videolectures.net/iswc07_xie_tbd/  
主讲教师: Guotong Xie
开课单位: IBM公司
开课时间: 2008-01-31
课程语种: 汉简
中文简介:
数据仓库现在广泛用于业务分析和决策过程。为了适应快速变化的业务环境，我们开发了一种工具，通过使用语义Web技术使数据仓库更加商业友好。主要思想是通过使用扩展的OWL语言统一表示业务元数据（即概念性企业数据模型和多维模型）来使业务语义明确。然后构建从业务元数据到数据仓库模式的映射。引发分析请求时，可以借助此内置知识自动生成包含从数据仓库填充的数据的自定义数据集市。这个名为Enterprise Information Asset Workbench（EIAW）的工具部署在泰康人寿保险公司，该公司是中国五大保险公司之一。用户反馈表明，OWL为数据仓库中业务语义的表示提供了良好的基础，但在实际应用中还需要许多必要的扩展。用户还认为此工具非常有用，因为它具有灵活性，可以在业务变化时加速数据集市部署。
课程简介: Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop a tool to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual enterprise data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge. This tool, called Enterprise Information Asset Workbench (EIAW), is deployed at the Taikang Life Insurance Company, one of the top five insurance companies of China. User feedback shows that OWL provides an excellent basis for the representation of business semantics in data warehouse, but many necessary extensions are also needed in the real application. The user also deemed this tool very helpful because of its flexibility and speeding up data mart deployment in face of business changes.
关 键 词: 数据仓库; 语义Web; 业务语义
课程来源: 视频讲座网
最后编审: 2020-10-22：chenxin
阅读次数: 80

纠错/补充/评论/留言
评论/留言 纠错/补充
验证算术题： 0 + 0 =