Reuse ontology mapping based on the similarity of adjacent concepts
Zhen Zhao, Qiang Hu, Yang Gao, Zhonghui An, Kang Wang, Shengchang Zhou · 2017
In order to reduce redundant similarity computation and improve mapping discovery, a new algorithm for ontology mapping reuse is proposed, in which the similarity between the concepts to be measured and the concepts in the existing mapping can be inferred. First of all, we establish a semantic two diagram between the conceptual contours. Then, the similarity of adjacent concepts is obtained by the best matching of two graphs. Finally, inspired by similar transmissions between adjacent concepts, new mappings between concepts are determined by existing mappings of adjacent similar concepts. The effectiveness of the algorithm is verified by experiments.