A framework for ontology integration based on genetic algorithm

被引:3
|
作者
Zhang, Lingyu [1 ]
Tao, Bairui [1 ]
机构
[1] Qiqihar Univ, Ctr Comp, Qiqihar 161006, Heilongjiang Pr, Peoples R China
关键词
Ontology integration; mapping; genetic algorithm; evolutionary method; KNOWLEDGE; MAPPINGS;
D O I
10.3233/IFS-151872
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ontology integration is an important work when integrating information from heterogeneous ontologies into an ontology. The existing methods about ontology integration cannot effectively make full use of non-1-1 mappings, which are very common in the real world. Furthermore, these methods only stated that the concept-pairs with mappings should be integrated, but not gave the specific operations for it. Therefore, these methods cannot describe a complete framework for ontology integration. To this end, this paper proposes a framework for Ontology Integration based on Genetic Algorithm, called OI-GA. During the process of integrating ontologies, OI-GA firstly creates mappings between them based on similarity measures. Next, OI-GA finds out all the non-1-1 mappings from mappings, and provides an evolutionary method to extract 1-1 mappings from them. Finally, all the concepts belonging to different ontologies are integrated into a new knowledge base called integrated ontology. Experimental results indicate that OI-GA performs encouragingly well in the optimization of mapping set as well as in the integration of ontologies from the real world.
引用
收藏
页码:1643 / 1656
页数:14
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