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공공누리This item is licensed Korea Open Government License

dc.contributor.author
노서영
dc.contributor.author
장행진
dc.date.accessioned
2019-08-28T07:41:27Z
dc.date.available
2019-08-28T07:41:27Z
dc.date.issued
2013-07-31
dc.identifier.issn
2095-2899
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14244
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART70434017
dc.description.abstract
The parametric temporal data model captures a real world entity in a single tuple, which reduces query language complexity. Such a data model, however, is difficult to be implemented on top of conventional databases because of its unfixed attribute sizes. XML is a matured technology and can be an elegant solution for such challenge. Representing data in XML trigger a question about storage efficiency. The goal of this work is to provide a straightforward answer to such a question. To this end, we compare three different storage models for the parametric temporal data model and show that XML is not worse than any other approaches. Furthermore, XML outperforms the other storages under certain conditions. Therefore, our simulation results provide a positive indication that the myth about XML is not true in the parametric temporal data model.
dc.language
eng
dc.relation.ispartofseries
Journal of Central South University of Technology
dc.title
Comparisons of three data storage models in parametric temporal databases
dc.subject.keyword
data representation
dc.subject.keyword
parametric data model
dc.subject.keyword
XML-based representation
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7. KISTI 연구성과 > 학술지 발표논문
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