An Approach to Resolve Data Semantic Heterogeneity in Simulation Grid

Ying-chao Zhang, Li-li Chen, Qin-zhang Yu, and Yan He

Keywords

Simulation grid, Ontology, Semantic heterogeneity, Information sharing

Abstract

In simulation grid, information sharing is very important for the grid units to cooperate with each other effectively and efficiently. In this paper, to resolve the problem of semantic heterogeneity, an ontology-based approach is proposed. In this approach, firstly, the local ontologies are merged into a global ontology based on their similarities. Then, with the merged global ontology, the semantic heterogeneity is resolved by comparing the classes and attributes of the local information source schemas. An example of how to resolve semantic heterogeneity in the E-government simulation grid is presented to illustrate this approach.

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