Specifying Parallel Composition of Matchers for Ontology Matching by Using Genetic Algorithm (CROSBI ID 575426)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gulić, Marko ; Vrdoljak, Boris
engleski
Specifying Parallel Composition of Matchers for Ontology Matching by Using Genetic Algorithm
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.
genetic algorithms ; ontology
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Podaci o prilogu
346-351.
2011.
objavljeno
Podaci o matičnoj publikaciji
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
978-953-233-062-5
Podaci o skupu
34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2011) - Computers in Technical Systems / Intelligent Systems
predavanje
23.05.2011-27.05.2011
Opatija, Hrvatska