지리공간 XML 스키마 결합을 위한 SOM 기반 매칭방법 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오세웅 | - |
dc.contributor.author | 박계각 | - |
dc.contributor.author | 박종민 | - |
dc.date.accessioned | 2021-12-08T20:40:32Z | - |
dc.date.available | 2021-12-08T20:40:32Z | - |
dc.date.issued | 20091107 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/5865 | - |
dc.description.abstract | The usefulness of large amounts of heterogeneous distributed data necessitates the integration of XML data from multiple sources for many reasons. Currently, there are many information service, which is similar products but use different XML Schemas with different ontology. When any two such information merge, or make an effort to service users in cooperation, there is a need for an integrated schema for the homogeneous information system. The process of XML Schema integration includes three layers architecture, which consist of schema matching, comparison, integration. The three layers can conceptually be regarded as three phases of the integration process. During schema matching, elements matching between XML application schemas are archived. During the comparison phase, correspondences as well as conflicts between elements are identified. During the integration phase, conflict resolution, restructuring and merging of the initial schemas takes place to obtain the global schema. In this paper, we propose the matching method based on Schema Object Model (SOM) as first phase for the integration of Geospatial XML Schema. The geospatial application schemas used in this study are represented by KML, marine XML. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | 지리공간 XML 스키마 결합을 위한 SOM 기반 매칭방법 연구 | - |
dc.title.alternative | A matching method based on Schema Object Model (SOM) for the integration of Geospatial XML Schema | - |
dc.type | Conference | - |
dc.citation.title | International Workshop on Advanced Computational Intelligence and Intelligent Informatics | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 100 | - |
dc.citation.endPage | 104 | - |
dc.citation.conferenceName | International Workshop on Advanced Computational Intelligence and Intelligent Informatics | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.