How to integrate heterogeneous semi-structured Web records into relational database is an important and challengeable research topic. An improved model of conditional random fields was presented to combine the learnin...How to integrate heterogeneous semi-structured Web records into relational database is an important and challengeable research topic. An improved model of conditional random fields was presented to combine the learning of labeled samples and unlabeled database records in order to reduce the dependence on tediously hand-labeled training data. The pro- posed model was used to solve the problem of schema matching between data source schema and database schema. Experimental results using a large number of Web pages from diverse domains show the novel approach＇s effectiveness.展开更多
基于 Web Service、XML 等设计开发了可配置的灵动数据集成中间件,用于不同数据库系统之间的数据迁移,很好地解决了异构系统之间的数据集成问题,该中间件具有的可扩展性和随需应变的能力,可以适应企事业单位不断发展的信息化需要.详细...基于 Web Service、XML 等设计开发了可配置的灵动数据集成中间件,用于不同数据库系统之间的数据迁移,很好地解决了异构系统之间的数据集成问题,该中间件具有的可扩展性和随需应变的能力,可以适应企事业单位不断发展的信息化需要.详细介绍了数据集成中间件的结构和实现功能,并在基于关系型数据库的档案和办公系统的数据集成中应用了该方案,为用户提供可配置的使用方式.展开更多
基金Supported by the National Defense Pre-ResearchFoundation of China(4110105018)
文摘How to integrate heterogeneous semi-structured Web records into relational database is an important and challengeable research topic. An improved model of conditional random fields was presented to combine the learning of labeled samples and unlabeled database records in order to reduce the dependence on tediously hand-labeled training data. The pro- posed model was used to solve the problem of schema matching between data source schema and database schema. Experimental results using a large number of Web pages from diverse domains show the novel approach＇s effectiveness.
文摘基于 Web Service、XML 等设计开发了可配置的灵动数据集成中间件,用于不同数据库系统之间的数据迁移,很好地解决了异构系统之间的数据集成问题,该中间件具有的可扩展性和随需应变的能力,可以适应企事业单位不断发展的信息化需要.详细介绍了数据集成中间件的结构和实现功能,并在基于关系型数据库的档案和办公系统的数据集成中应用了该方案,为用户提供可配置的使用方式.
