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dc.contributor.authorBelhadi, Hiba
dc.contributor.authorAkli-Astouati, Karima
dc.contributor.authorDjenouri, Youcef
dc.contributor.authorLin, Chun Wei
dc.contributor.authorWu, Jimmy Ming-Tai
dc.date.accessioned2019-11-04T11:00:04Z
dc.date.available2019-11-04T11:00:04Z
dc.date.created2019-07-02T14:05:10Z
dc.date.issued2019
dc.identifier.citationAdvances in Intelligent Systems and Computing. 2019, 834 655-660.nb_NO
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/11250/2626341
dc.description.abstractThis 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.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleGFSOM: Genetic Feature Selection for Ontology Matchingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber655-660nb_NO
dc.source.volume834nb_NO
dc.source.journalAdvances in Intelligent Systems and Computingnb_NO
dc.identifier.doi10.1007/978-981-13-5841-8_68
dc.identifier.cristin1709442
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Advances in Intelligent Systems and Computing] Locked until 12.5.2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-981-13-5841-8_68nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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