数据空间中数据组织模型以及关联关系发现模型的研究

数据资源之间关联关系的发现问题是数据空间的一个重要研究方向,它是解决数据空间中其他问题如构建索引、提供浏览、查询、Lineage等服务的基础.然而目前针对数据空间的研究大都是在假设已经得到数据资源之间关联关系的基础之上进行的,这些研究或多或少都带有一定的局限性.为了解决这个问题提出了一种数据组织模型以及一种数据资源关联关系发现模型,基于该模型可以有效地管理数据空问中的数据资源,进而支持丰富的语义查询.与此同时,通过实验验证了模型和算法的可行性.

Data Organization Model and Relationship Discovering Model in Dataspace

To discover the relationships among data resources in dataspace is an important issue,which is the basis for creating index,browsing,searching,querying,lineage and other services.However,current researches mostly focus on the assumption that the relationships among data resources have been obtained,thus they have more or less 1imitation.In order to solve this problem,a data organization model and a model for discovering relationships among data resources are proposed,with which the data resources in dataspace can be managed effectively and rich semantic query are provided.The experimental results prove that the proposed models are feasible.