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Multi-agent system using G-XMDR for data synchronization in pervasive computing environments

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dc.contributor.authorKook, Y.-G.-
dc.contributor.authorKim, R.Y.-C.-
dc.contributor.authorChoi, Y.-K.-
dc.date.accessioned2022-01-03T07:43:40Z-
dc.date.available2022-01-03T07:43:40Z-
dc.date.created2021-12-28-
dc.date.issued2009-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/22529-
dc.description.abstractThis paper extends XMDR[19] into G-XMDR (Global-Extended Metadata Registry) to ensure the interoperability of data, and to describe multi agent system using G-XMDR. The proposal G-XMDR will be solved the problem of data heterogeneity and inconsistency in sharing and exchanging each local data in virtual pervasive computing environments. Data heterogeneity is generated by different definition or mismatched expression of the same meaning data. Therefore, we define and design G-XMDR based on XMDR(ISO/IEC 11179) specification to interoperate various each local data in pervasive computing. We also describe our synchronizing multi agent system, which uses G-XMDR to solve data heterogeneity for data interoperability through synchronizing data. It provides more efficient agent through reducing errors that happened on synchronizing requests and adding new pervasive computing environments with their own each local data. © 2009 Springer Berlin Heidelberg.-
dc.language영어-
dc.language.isoen-
dc.titleMulti-agent system using G-XMDR for data synchronization in pervasive computing environments-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, R.Y.-C.-
dc.identifier.doi10.1007/978-3-642-03339-1_24-
dc.identifier.scopusid2-s2.0-70350675935-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4078 LNAI, pp.297 - 309-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume4078 LNAI-
dc.citation.startPage297-
dc.citation.endPage309-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
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