Logo BSU

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот документ: https://elib.bsu.by/handle/123456789/50065
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorYatskevich, M. I.-
dc.date.accessioned2013-10-29T08:08:30Z-
dc.date.available2013-10-29T08:08:30Z-
dc.date.issued2008-03-14-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/50065-
dc.description.abstractThe thesis proposes the matching algorithm implementing the so-called semantic matching approach. This approach is based on two key ideas. The first is that correspondences are calculated between entities of ontologies by computing logical relations (e.g., equivalence, subsumption, disjointness), instead of computing coefficients rating match quality in the [0 1] range, as it is the case in many other approaches. The second idea is that the relations are determined by analyzing the meaning which is codified in the elements and the structures of ontologies. In particular, labels at nodes, written in natural language, are automatically translated into propositional formulas which explicitly codify the labels’ intended meaning. This allows the translation of the matching problem into a propositional validity problem, which can then be efficiently resolved using sound and complete state of the art propositional satisfiability deciders. The basic, efficient and structure preserving semantic matching algorithms have been designed and developed. The approach has been evaluated on various real world test cases with encouraging results, thus, proving empirically its benefits.en
dc.language.isoenru
dc.publisherUniversity of Trentoru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.titleSemantic matching algorithms and implementation: PhD dissertation / Mikalai Yatskevich. - Trento : Università degli Studi di Trento, 2008. - XXIII, 175 с.en
dc.title.alternativeСемантический поиск отображений: алгоритмы и реализация: диссертация на соискание ученой степени кандидата [технических] наук / Яцкевич Николай. - Тренто, 2008.ru
dc.typedoctoral thesisru
Располагается в коллекциях:05.13.01 – Системный анализ, управление и обработка информации

Полный текст документа:
Файл Описание РазмерФормат 
MikalaiYatskevich-PhDThesis.pdf1,23 MBAdobe PDFОткрыть
Показать базовое описание документа Статистика Google Scholar



Все документы в Электронной библиотеке защищены авторским правом, все права сохранены.