A levelized schema extraction for XML document using user-defined graphs
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, S | - |
dc.contributor.author | Yoon, YI | - |
dc.date.available | 2021-02-22T16:33:59Z | - |
dc.date.issued | 2002-10 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16617 | - |
dc.description.abstract | EXtended Markup Language (XML), which are becoming new standard for representing and exchanging data in the Internet, don't have defined schema. It is not proper to directly apply XML documents to the existing SQL or OQL. Research on how to extract schema for XML documents and query language is going on actively. For users' query, the query results could be too many or too few. It is important to give the users good size results. We suggest the way to extract schema using some graphs according to the frequency of element occurrence in XML documents. The extracted schema can be reduced or extended to correspond to the users' query more flexibly. We test our proposed method and the results show that our method is a desirable extracting schema for XML documents. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | A levelized schema extraction for XML document using user-defined graphs | - |
dc.type | Article | - |
dc.publisher.location | 독일 | - |
dc.identifier.doi | 10.1007/3-540-36087-5_51 | - |
dc.identifier.scopusid | 2-s2.0-84896997981 | - |
dc.identifier.wosid | 000182824600051 | - |
dc.identifier.bibliographicCitation | EURASIA-ICT 2002: INFORMATION AND COMMUNICATION TECHNOLOGY, PROCEEDINGS, v.2510, pp 434 - 441 | - |
dc.citation.title | EURASIA-ICT 2002: INFORMATION AND COMMUNICATION TECHNOLOGY, PROCEEDINGS | - |
dc.citation.volume | 2510 | - |
dc.citation.startPage | 434 | - |
dc.citation.endPage | 441 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/3-540-36087-5_51 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. 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.