Research on Large Scale Ontology Partition and Mapping

Runmei Wang · Journal of Chinese Computer Systems · 2012

Due to the shortcomings in current large scale ontology mapping,proposesd a new method for large ontology partition and mapping based on genetic algorithm.Firstly,the ontologys are represented in DAG(Directed Acyclic Graph)structures by preprocessing.So,the ontology partition question is turned into a graph partition problem.Then we use GPO(Genetic-Partition-Ontology) algorithm which based on genetic algorithm to partition the DGA,and the algorithm don′t need the parameter of block number.Finaly,blocks from different ontology are matched by combining two methods of ontology blocks structure as well as predifind anchors.Theoretical analysis and experimental results shows that the method proposed by this paper can acquire good matching results.

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