Optimizing Method for Ontology Mapping Based on Similarity Computation
Gencheng Guo · Jisuanji gongcheng · 2008
The account quantum of ontology mapping based on similarity computation is vast, because the amount of concepts and attribute waiting for computing is large. This paper adopts a filtering tactic which uses candidate mapping tactic and information gain tactic to reduce the amount of concepts and attribute waiting for computing. This filtering tactic makes full use of the characteristic of ontology and the idea of data digging, and gets rid of those worthless concepts and attribute to reduce the account quantum of similarity computation. Experimental results indicate that the effect of those concepts and attribute is little.