• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (11): 2164-2168.

• 论文 • Previous Articles     Next Articles

An ontology algorithm based on
iterated Laplacian semi-supervised learning        

PENG Bo,XU Tianwei,LI Zhen,GAO Wei   

  1. (School of Information Science and Technology,Yunnan Normal University,Kunming 650500,China)
  • Received:2012-11-22 Revised:2013-07-13 Online:2014-11-25 Published:2014-11-25

Abstract:

Ontology similarity measure and ontology mapping are central contexts for knowledge representation and information processing.An ontology algorithm based on iterated Laplacian semisupervised learning is proposed.Using iterated Laplacian semisupervised learning method,all the vertices of the ontology graph are mapped into real numbers.Then,the ontology similarity measure algorithm and the ontology mapping strategy are obtained by comparing the differences of their corresponding values.Two experiments confirm that the new algorithm has high quality for special application fields.      

Key words: ontology;similarity;ontology mapping;semi-supervised learning;iterated Laplacian