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Pregled bibliografske jedinice broj: 593589

Automated weighted aggregation in an ontology matching system


Gulić, Marko; Magdalenić, Ivan; Vrdoljak, Boris
Automated weighted aggregation in an ontology matching system // International Journal of Metadata, Semantics and Ontologies, 7 (2012), 1; 55-64 doi:10.1504/IJMSO.2012.048510 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 593589 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Automated weighted aggregation in an ontology matching system

Autori
Gulić, Marko ; Magdalenić, Ivan ; Vrdoljak, Boris

Izvornik
International Journal of Metadata, Semantics and Ontologies (1744-2621) 7 (2012), 1; 55-64

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ontology matching ; parallel matching systems ; weighted aggregation ; ontology integration ; semantic relationships

Sažetak
Ontology matching is the process of finding semantic relationships between entities of different ontologies. It plays an important role in the integration of heterogeneous data sources. To find semantic correspondences between entities, various matchers can be used. When multiple matchers are integrated into a matching system, the issue of combining these matchers together and determining the importance of every basic matcher arises. In a parallel composition of basic matchers, several matchers are used independently and then their results are aggregated. In this paper, we propose a method for automatically determining weights of basic matchers in their parallel composition and the architecture of the matching system. An evaluation of the method is performed on case study examples concerning the matching of four ontology pairs and a comparison with other aggregation methods is given. Additionally, the architecture of the matching system based on our automatic weighted aggregation method is presented.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
016-0161199-1715 - Informacijska infrastruktura i interoperabilnost (Vrček, Neven, MZOS ) ( POIROT)
016-0161741-1739 - Razvoj informacijske infrastrukture i deduktivnih mehanizama Semantičkog Weba (Čubrilo, Mirko, MZOS ) ( POIROT)
036-0361983-2012 - Semantička integracija heterogenih izvorišta podataka (Baranović, Mirta, MZOS ) ( POIROT)
036-0362027-1638 - Umrežena ekonomija (Skočir, Zoran, MZOS ) ( POIROT)
112-1121722-3314 - Informacijsko-komunikacijske tehnologije u inteligentnim pomorskim sustavima (Tomas, Vinko, MZOS ) ( POIROT)

Ustanove:
Fakultet organizacije i informatike, Varaždin,
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marko Gulić (autor)

Avatar Url Ivan Magdalenić (autor)

Avatar Url Boris Vrdoljak (autor)

Citiraj ovu publikaciju

Gulić, Marko; Magdalenić, Ivan; Vrdoljak, Boris
Automated weighted aggregation in an ontology matching system // International Journal of Metadata, Semantics and Ontologies, 7 (2012), 1; 55-64 doi:10.1504/IJMSO.2012.048510 (međunarodna recenzija, članak, znanstveni)
Gulić, M., Magdalenić, I. & Vrdoljak, B. (2012) Automated weighted aggregation in an ontology matching system. International Journal of Metadata, Semantics and Ontologies, 7 (1), 55-64 doi:10.1504/IJMSO.2012.048510.
@article{article, year = {2012}, pages = {55-64}, DOI = {10.1504/IJMSO.2012.048510}, keywords = {ontology matching, parallel matching systems, weighted aggregation, ontology integration, semantic relationships}, journal = {International Journal of Metadata, Semantics and Ontologies}, doi = {10.1504/IJMSO.2012.048510}, volume = {7}, number = {1}, issn = {1744-2621}, title = {Automated weighted aggregation in an ontology matching system}, keyword = {ontology matching, parallel matching systems, weighted aggregation, ontology integration, semantic relationships} }

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • Computer and Information Systems Abstracts
  • INSPEC
  • Scopus (Elsevier), Compendex (Elsevier), Academic OneFile (Gale), ACM Digital Library, Scirus (Elsevier)


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