面向资源融合网格的语义数据融合

网格中的数据资源多种多样，为用户提供具有语义支持的、按需访问的数据服务是资源融合网格中数据融合的关键问题。本文提出了基于本体的语义数据容融合方法ODSF；该方法中的基本元素是数据对象，通过数据对象和领域本体之间的映射关系来表达数据对象的语义，使用嵌套关系模型来表达数据对象的模式信息，通过一个网格节点中集成的所有数据对象作为下一个节点的数据对象来实现数据资源由粗到细的融合；定义了ODSF的语义模型，给出了虚拟数据库的查询执行过程和算法，可以为使用者提供具有语义支持、服务质量保障的数据访问服务；通过原型系统验证了ODSF中理论和关键技术的正确性和可行性。

FuseGrid-Oriented Semantic Data Fusion

With the diversity and richness of data resource in grid, research about semantic data access on demand is becoming key point of data fusion in FuseGrid. In this paper a novel ontology-based data semantic fusing frame named ODSF is introduced, the basic element of ODSF is dataset its semantic is obtained by the mapping between the domain ontology and dataset. ODSF adopts nested relation model to represent the schema information of dataset, and realizes the data fusing from coarse-grained level to the small-grained level by wrapping the datasets registered in virtual database as a new dataset. We also present the semantic model of ODSF, query executing process and algorithm of virtual database, so ODSF can provide the semantic supported and QoS supported data access for user. The experiments demonstrate our work and show the feasibility and effectiveness of ODSF and its key techniques.