Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (1): 96-101.

• Computer Science & Technology • Previous Articles     Next Articles

Ontology-Based Fusion Method of Semantic Data

Liu Bo1  Qi De-yu1  Lin Wei-wei1  Pang Xiong-wen2   

  1. 1. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China; 2. School of Computer, South China Normal University, Guangzhou 510631, Guangdong, China
  • Received:2008-04-17 Revised:2008-06-04 Online:2009-01-25 Published:2009-01-25
  • Contact: 刘波（1968-），男，在职博士生，华南师范大学副教授，主要从事分布式系统、网格计算研究． E-mail:liugubin@sohu.com
  • About author:刘波（1968-），男，在职博士生，华南师范大学副教授，主要从事分布式系统、网格计算研究．
  • Supported by:

    广东省自然科学基金资助项目（0530020）

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Abstract:

This paper deals with the semantic data access on demand in the grid environment and proposes a novel ontology-based semantic data fusion method named OSDF. In this method, the dataset is taken as the basic element, the mapping between the domain ontology and the dataset is used to obtain the semantics of the dataset, the nested relation model is employed to represent the pattern information of the dataset, and all the datasets integrated in a grid node are regarded as the datasets of the next node to perform a fine-to-coarse data fusion. Moreover, by defining the semantic model of OSDF and proposing the query-executing process and algorithm of the virtual database, a semantic-supported and QoS-supported data access is provided for users. The correctness and feasibility of OSDF are finally verified by a prototype.

Key words: data fusion, semantic data, virtual database, ontology, service quality