基于模块抽取的大本体分块与映射

大本体规模过大，使得本体间映射复杂。针对已有方法在分块上的不足，提出一种基于模块抽取的大本体分 块映射方法。通过建立本体依赖图的拉普拉斯矩阵来抽取本体模块，计算模块之间的相似度，实现分块映射。实验结 果表明，该方法能有效实现大本体分块，提高映射效率。

Large Ontology Partition and Mapping Based on Module Extraction

The ontology mapping is complex because of the large size of ontology. Aiming at the defect of existing ap- proaches,this paper presented a new way which is based on the module extractedion to realize the large ontology parti- tion and mapping. We extracted the ontology modules by the I_aplace Matrix of the dependency graph, and computed the module similarity, then got the mapped modules. The empirical results indicate that our method can achieve ontology partition and enhance the mapping efficiency.