XML-based EIS - A Meta Schema for Mapping XML Schema to Relational DBS

Elisabeth Kapsammer

XML-based EIS - A Meta Schema for Mapping XML Schema to Relational DBS

Institute for Machine Learning

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Abstract. Enterprise information systems (EIS) often employ relational database systems to store their content. At the same time, XML constitutes the dominant standard for data exchange as well as for the hypertext level of webenabled EIS. Thus, the integration of XML with relational database systems to allow the storage, retrieval, and update of XML documents is of paramount importance in the context of EIS. Data model heterogeneity and schema heterogeneity, however, make this a challenging task. This paper proposes XRay, a generic approach facilitating the composition of XML documents out of a relational database system as well as the decomposition of XML documents to store them within a relational database system in a fully transparent way. This is achieved by means of a generic meta schema that stores all relevant information for the composition and decomposition process. This meta schema covers both, the concepts of DTDs and XML Schema concepts.

Original language	English
Title of host publication	Proceedings of the IFIP International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS 2006)
Publication status	Published - 2006

Fields of science

101004 Biomathematics
101027 Dynamical systems
101028 Mathematical modelling
101029 Mathematical statistics
101014 Numerical mathematics
101015 Operations research
101016 Optimisation
101017 Game theory
101018 Statistics
101019 Stochastics
101024 Probability theory
101026 Time series analysis
102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102004 Bioinformatics
102013 Human-computer interaction
102018 Artificial neural networks
102019 Machine learning
103029 Statistical physics
106005 Bioinformatics
106007 Biostatistics
202017 Embedded systems
202035 Robotics
202036 Sensor systems
202037 Signal processing
305901 Computer-aided diagnosis and therapy
305905 Medical informatics
305907 Medical statistics
102032 Computational intelligence
102033 Data mining
101031 Approximation theory

Cite this

@inproceedings{65b7b6c7308147b7a8cc31b75ad6ce63,

title = "XML-based EIS - A Meta Schema for Mapping XML Schema to Relational DBS",

abstract = "Abstract. Enterprise information systems (EIS) often employ relational database systems to store their content. At the same time, XML constitutes the dominant standard for data exchange as well as for the hypertext level of webenabled EIS. Thus, the integration of XML with relational database systems to allow the storage, retrieval, and update of XML documents is of paramount importance in the context of EIS. Data model heterogeneity and schema heterogeneity, however, make this a challenging task. This paper proposes XRay, a generic approach facilitating the composition of XML documents out of a relational database system as well as the decomposition of XML documents to store them within a relational database system in a fully transparent way. This is achieved by means of a generic meta schema that stores all relevant information for the composition and decomposition process. This meta schema covers both, the concepts of DTDs and XML Schema concepts.",

author = "Elisabeth Kapsammer",

year = "2006",

language = "English",

booktitle = "Proceedings of the IFIP International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS 2006)",

}

TY - GEN

T1 - XML-based EIS - A Meta Schema for Mapping XML Schema to Relational DBS

AU - Kapsammer, Elisabeth

PY - 2006

Y1 - 2006

N2 - Abstract. Enterprise information systems (EIS) often employ relational database systems to store their content. At the same time, XML constitutes the dominant standard for data exchange as well as for the hypertext level of webenabled EIS. Thus, the integration of XML with relational database systems to allow the storage, retrieval, and update of XML documents is of paramount importance in the context of EIS. Data model heterogeneity and schema heterogeneity, however, make this a challenging task. This paper proposes XRay, a generic approach facilitating the composition of XML documents out of a relational database system as well as the decomposition of XML documents to store them within a relational database system in a fully transparent way. This is achieved by means of a generic meta schema that stores all relevant information for the composition and decomposition process. This meta schema covers both, the concepts of DTDs and XML Schema concepts.

AB - Abstract. Enterprise information systems (EIS) often employ relational database systems to store their content. At the same time, XML constitutes the dominant standard for data exchange as well as for the hypertext level of webenabled EIS. Thus, the integration of XML with relational database systems to allow the storage, retrieval, and update of XML documents is of paramount importance in the context of EIS. Data model heterogeneity and schema heterogeneity, however, make this a challenging task. This paper proposes XRay, a generic approach facilitating the composition of XML documents out of a relational database system as well as the decomposition of XML documents to store them within a relational database system in a fully transparent way. This is achieved by means of a generic meta schema that stores all relevant information for the composition and decomposition process. This meta schema covers both, the concepts of DTDs and XML Schema concepts.

UR - http://www.ifs.uni-linz.ac.at/ifs/research/publications/papers06.html

M3 - Conference proceedings

BT - Proceedings of the IFIP International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS 2006)

ER -

XML-based EIS - A Meta Schema for Mapping XML Schema to Relational DBS

Abstract

Fields of science

Other files and links

Cite this