摘要
中科院科学数据库在"十一五"信息化建设中将建成一个由51家参建单位组成的庞大数据应用环境。为方便科研人员从这些海量科学数据中得到感兴趣的内容,有必要设计一个统一检索工具。然而传统的统一检索技术不支持科学数据专业数据类型,这带来了数据表达与展示两方面的问题。对此,提出一种支持科学数据专业类型的统一检索框架,该框架使用数据建模中间件实现专业类型数据的统一格式表达与发布,运用模板技术为数据提供灵活的展示方式,并以一种可扩展的插件方式管理这些科学数据专业类型。文章最后还介绍了基于此框架的统一检索系统Voovle的应用现状。
The CAS 1 lth Five-year Informationization Construction Program will build a huge data application environment, which is composed of 51 institutions. It is necessary to build a cross-search tool to help people get useful information from those massive data. The traditional cross-search technology doesn＇t support the professional type of scientific data, which brings difficulty in data formatting and data presentation. This paper proposes a cross-search framework which supports these professional types. This framework uses data modeling middleware to publish scientific data and metadata on the basis of the universal data exchange format of the profession type, and uses template technology to display these data flexibly. The framework also manages professional type as a plug-in, which has good extensibility. This paper also introduces the application of the cross-search system Voovle, based on this framework.
出处
《计算机系统应用》
2010年第12期6-10,共5页
Computer Systems & Applications
基金
中国科学院信息化专项项目(INFO-115-C01)
关键词
统一检索
科学数据
专业类型
插件
概念模型
中间件
cross-search
scientific data
professional type
plug-in
conceptual model
middleware
