Pregled bibliografske jedinice broj: 525778
Specifying Parallel Composition of Matchers for Ontology Matching by Using Genetic Algorithm
Specifying Parallel Composition of Matchers for Ontology Matching by Using Genetic Algorithm // Proceedings of 34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2011) - Computers in Technical Systems / Intelligent Systems / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2011. str. 346-351 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 525778 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Specifying Parallel Composition of Matchers for Ontology Matching by Using Genetic Algorithm
Autori
Gulić, Marko ; Vrdoljak, Boris
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2011) - Computers in Technical Systems / Intelligent Systems
/ Bogunović, Nikola ; Ribarić, Slobodan - Zagreb : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2011, 346-351
ISBN
978-953-233-062-5
Skup
34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2011) - Computers in Technical Systems / Intelligent Systems
Mjesto i datum
Opatija, Hrvatska, 23.05.2011. - 27.05.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithms ; ontology
Sažetak
Ontology matching is the process of finding semantic relationships or correspondences between entities of different ontologies. It is a key challenge in the integration of heterogeneous applications. In this paper our focus is on aggregation methods that aggregate basic matchers in their parallel composition. Various aggregation methods are tested on two pairs of ontologies. Given the results, weighted aggregation method is the best method for aggregation in parallel composition of basic matchers. For each pair of ontologies, different assignment of weights of the basic matchers provides the best matching results so the equally weighted aggregation is not appropriate. This paper proposes using of genetic algorithm for determining the weights of basic matchers. The use of genetic algorithm accelerates the search of the ideal weights of each basic matcher for every pair of ontologies.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0361983-2012 - Semantička integracija heterogenih izvorišta podataka (Baranović, Mirta, MZO ) ( CroRIS)
036-0362027-1638 - Umrežena ekonomija (Skočir, Zoran, MZO ) ( CroRIS)
112-1121722-3314 - Informacijsko-komunikacijske tehnologije u inteligentnim pomorskim sustavima (Tomas, Vinko, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Pomorski fakultet, Rijeka
Profili:
Boris Vrdoljak
(autor)