DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, B | - |
dc.contributor.author | Lee, D | - |
dc.contributor.author | Lee, J | - |
dc.contributor.author | Cho, H | - |
dc.date.accessioned | 2016-04-01T08:46:57Z | - |
dc.date.available | 2016-04-01T08:46:57Z | - |
dc.date.created | 2009-07-31 | - |
dc.date.issued | 2009-01 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.other | 2009-OAK-0000017109 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/28754 | - |
dc.description.abstract | A challenging issue to web services interoperability is seamless data exchanges between web services to be composed. A solution to this problem is to establish semantic mappings from an information item to another. To do that, we present an approximate information mapping analysis. We propose a kernel-based structural similarity measure for XML documents. Simulation results with industrial XML data show that the proposed kernel-based measure outperforms other existing methods. (C) 2007 Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.relation.isPartOf | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.subject | Data exchange | - |
dc.subject | Information mapping | - |
dc.subject | Kernel method | - |
dc.subject | Schema matching | - |
dc.subject | Structural similarity | - |
dc.subject | Web service | - |
dc.subject | CLUSTERING XML DOCUMENTS | - |
dc.subject | CLASSIFICATION | - |
dc.subject | SIMILARITY | - |
dc.subject | EFFICIENT | - |
dc.title | SUPPORT FOR SEAMLESS DATA EXCHANGES BETWEEN WEB SERVICES THROUGH INFORMATION MAPPING ANALYSIS USING KERNEL METHODS | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1016/j.eswa.2007.10.021 | - |
dc.author.google | Jeong, B | - |
dc.author.google | Lee, D | - |
dc.author.google | Lee, J | - |
dc.author.google | Cho, H | - |
dc.relation.volume | 36 | - |
dc.relation.issue | 1 | - |
dc.relation.startpage | 358 | - |
dc.relation.lastpage | 365 | - |
dc.contributor.id | 10083567 | - |
dc.relation.journal | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | EXPERT SYSTEMS WITH APPLICATIONS, v.36, no.1, pp.358 - 365 | - |
dc.identifier.wosid | 000264182800036 | - |
dc.date.tcdate | 2018-03-23 | - |
dc.citation.endPage | 365 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 358 | - |
dc.citation.title | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.volume | 36 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.identifier.scopusid | 2-s2.0-54049095957 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Data exchange | - |
dc.subject.keywordAuthor | Information mapping | - |
dc.subject.keywordAuthor | Kernel method | - |
dc.subject.keywordAuthor | Schema matching | - |
dc.subject.keywordAuthor | Structural similarity | - |
dc.subject.keywordAuthor | Web service | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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