标题:GFSOM: Genetic Feature Selection for Ontology Matching
作者:Belhadi, Hiba ;Akli-Astouati, Karima ;Djenouri, Youcef ;Lin, Jerry Chun-Wei ;Wu, Jimmy Ming-Tai
通讯作者:Belhadi, Hiba
作者机构:[Belhadi, Hiba ;Akli-Astouati, Karima ] Computer Science Department, University of Science and Technology Houari Boumediene (USTHB), Algiers, Bab Ezzo 更多
会议名称:12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018
会议日期:December 14, 2018 - December 17, 2018
来源:Advances in Intelligent Systems and Computing
出版年:2019
卷:834
页码:655-660
DOI:10.1007/978-981-13-5841-8_68
摘要:This paper studies the ontology matching problem and proposes a genetic feature selection approach for ontology matching (GFSOM), which exploits the feature selection using the genetic approach to select the most appropriate properties for the matching process. Three strategies are further proposed to improve the performance of the designed approach. The genetic algorithm is first performed to select the most relevant properties, and the matching process is then applied to the selected properties instead of exploring all properties of the given ontology. To demonstrate the usefulness and accuracy of the GFSOM framework, several experiments on DBpedia ontology database are conducted. The results show that the ontology matching process benefits from the feature selection and the genetic algorithm, where GFSOM outperforms the state-of-the-art ontology matching approaches in terms of both the execution time and quality of the matching process.
© 2019, Springer Nature Singapore Pte Ltd.
收录类别:EI
资源类型:会议论文
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