Computer Science ›› 2016, Vol. 43 ›› Issue (10): 242-247.doi: 10.11896/j.issn.1002-137X.2016.10.046

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Adaptive Ontology Semantic Similarity Comprehensive Weighted Algorithm

ZHENG Zhi-yun, RUAN Chun-yang, LI Lun and LI Dun   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Ontology semantic similarity computation is the key to solve the semantic heterogeneity in semantic Web.Through analysis and study of the traditional ontology semantic similarity computation,this article introduced the ontolo-gy hierarchy,proposed an improved semantic similarity method,which is based on information content,distance,and attribute,and put forward a ACWA using the principal component analysis ,to address the deficiencies of artificial weight in traditional comprehensive weighted calculation. The experimental results show that the pearson cofficient of the proposed ACWA algorithm results compared with the reference value is 8.1% higher than that of the traditional method,and the accuracy of ontology semantic similarity calculation is effectively increased.

Key words: Ontology,Semantic similarity,Principal component analysis

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