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An ontology alignment hybrid method based on decision rules
Joint Authors
Biniz, Muhammad
Fakir, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 6 (30 Nov. 2019), pp.1114-1120, 7 p.
Publisher
Publication Date
2019-11-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Topics
Abstract EN
In this paper, we propose a hybrid approach based on the extraction of decision rules to refine the alignment results due to the use of three alignment strategies.
This approach contains two phases: training phase which uses structural similarity, element similarity, instance-based similarity and C4.5 algorithms to extract decision rules, and evaluation phase which refines discovered alignment by three alignment strategies using extracted decision rules.
This approach is compared with the best systems according to benchmark OAEI 2016: Framework for Ontology Alignment and Mapping (FOAM), A Dynamic Multistrategy Ontology Alignment Framework (RIMOM), AgreementMakerLight and Yet Another Matcher-Biomedical Ontologies (YAM-BIO), the proposed method gives good results (good recall, precision and F-measure).
Experimental results show that the proposed approach is effective.
American Psychological Association (APA)
Biniz, Muhammad& Fakir, Muhammad. 2019. An ontology alignment hybrid method based on decision rules. The International Arab Journal of Information Technology،Vol. 16, no. 6, pp.1114-1120.
https://search.emarefa.net/detail/BIM-915132
Modern Language Association (MLA)
Biniz, Muhammad& Fakir, Muhammad. An ontology alignment hybrid method based on decision rules. The International Arab Journal of Information Technology Vol. 16, no. 6 (Nov. 2019), pp.1114-1120.
https://search.emarefa.net/detail/BIM-915132
American Medical Association (AMA)
Biniz, Muhammad& Fakir, Muhammad. An ontology alignment hybrid method based on decision rules. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 6, pp.1114-1120.
https://search.emarefa.net/detail/BIM-915132
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 119-1120
Record ID
BIM-915132