DocumentCode :
2255945
Title :
Ontology mapping based on structures and instances
Author :
Zheng, Cheng ; Shen, Ya-Peng ; Mei, Lin
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
Volume :
1
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
460
Lastpage :
465
Abstract :
Ontology mapping is to find the mapping relationship between different ontology to reuse and share ontology. In this paper we present a multi-strategy ontology mapping technique based on the structure and instance. When the similarity between the mapping pairs is approximating to the threshold, context structures are used to judge their similarity. The key of the instance mapping is calculating the instance similarity. Firstly the instance is preprocessed. Then set similarity and probability similarity based on Bayesian theory is calculated respectively. Finally instance similarity is calculated by the set similarity and probability similarity comprehensively. Experimental results show its effectiveness.
Keywords :
Bayes methods; ontologies (artificial intelligence); Bayesian theory; context structures; multistrategy ontology mapping technique; probability similarity; Cybernetics; Encoding; Machine learning; Ontologies; Optimization; Probability; Semantics; Ontology Mapping; Ontology instance; Ontology structure; Similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5581019
Filename :
5581019
Link To Document :
بازگشت