Abstract

Ontology Alignment or Ontology Matching is used to identify entities contained in two ontologies or more, that have similar or matching. Ontology Alignment can determine a relationship between two ontologies or more. There has been several tools that can be used for Ontology Alignment. Ontology Alignment is widely use in finding similar entities in bibliography created by Bibtex and IFLA (International Federation of Library Associations and Institutions). Bibliography is writing in detail about the identity of an article such as books and journals. It is very important to know the differences and similarities between Bibliography format. It aims when changing one format Bibliography to another format should not change the overall. In this research, we combine several similarity methods and Brute Force String matching method to produce a better Ontology Alignment result. The results showed that the proposed method outperform the previous method. And the results of Ontology Alignment showed that between Ontology BibTex and IFLA has a relationship. This is evidenced by several entities of both Ontology are matching.

Original languageEnglish
Title of host publication2016 International Conference on Informatics and Computing, ICIC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages239-244
Number of pages6
ISBN (Electronic)9781509016488
DOIs
Publication statusPublished - 19 Apr 2017
Event1st International Conference on Informatics and Computing, ICIC 2016 - Mataram, Indonesia
Duration: 28 Oct 201629 Oct 2016

Publication series

Name2016 International Conference on Informatics and Computing, ICIC 2016

Conference

Conference1st International Conference on Informatics and Computing, ICIC 2016
Country/TerritoryIndonesia
CityMataram
Period28/10/1629/10/16

Keywords

  • Brute Force
  • Jaccard Distance
  • JaroWinkler Distance Edit Distance
  • Level2 Monge Elkan
  • Matching
  • Monge Elkan
  • Ontology Alignment

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