NDLI: CPI: Constraints-Preserving Inlining Algorithm for Mapping XML DTD to Relational Schema (2001)

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CPI: Constraints-Preserving Inlining Algorithm for Mapping XML DTD to Relational Schema (2001)

Content Provider	CiteSeerX
Author	Lee, Dongwon Chu, Wesley W.
Abstract	As Extensible Markup Language (XML) is emerging as the data format of the In- ternet era, there are increasing needs to efficiently store and query XML data. One path to this goal is transforming XML data into relational format in order to use relational database technology. Although several transformation algorithms exist, they are incomplete in the sense that they focus only on structural aspects and ignore semantic aspects. In this paper, we present the semantic knowledge that needs to be captured during transformation to ensure a correct relational schema. Further, we show an algorithm that can 1) derive such semantic knowledge from a given XML Document Type Definition (DTD) and 2) preserve the knowledge by representing it as semantic constraints in relational database terms. By combining existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and be- haviors are guaranteed by the preserved constraints. Experimental results are also presented.
File Format	PDF
Volume Number	39
Journal	J. Data & Knowledge Engineering (DKE
Language	English
Publisher Date	2001-01-01
Access Restriction	Open
Subject Keyword	Relational Schema Constraints-preserving Inlining Algorithm Mapping Xml Dtd Xml Data Transformation Algorithm Ternet Era Relational Database Term Preserved Constraint Structural Aspect Correct Relational Schema Constraints-preserving Algorithm Xml Document Type Definition Correct Semantics Semantic Knowledge Relational Format Xml Dtd Extensible Markup Language Data Format Relational Database Technology Semantic Constraint Derive Semantic Knowledge Several Transformation Algorithm Experimental Result Semantic Aspect
Content Type	Text
Resource Type	Article

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