An automatic load/extract scheme for XML documents through object-relational repositories
Extensible markup language (XML), a simplified version of standard generalized markup language (SGML), is designed to enable electronic text interchange in the Internet. XML documents have a rigorously described structure that may be analyzed by computers and easily understood by humans. Most curren...
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| Veröffentlicht in: | The Journal of systems and software Jg. 64; H. 3; S. 207 - 218 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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15.12.2002
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| ISSN: | 0164-1212, 1873-1228 |
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| Abstract | Extensible markup language (XML), a simplified version of standard generalized markup language (SGML), is designed to enable electronic text interchange in the Internet. XML documents have a rigorously described structure that may be analyzed by computers and easily understood by humans. Most current approaches store XML documents in file systems or in relational database systems. However, the nature and the design of file system or relational database schema may cause limitations on fitting with XML document structure. In this paper, we present an automatic load/extract scheme to store and retrieve XML documents through object-relational databases. We propose an architecture, called XML meta-generator (XMG), which, after reading a specific document type definition (DTD), automatically generates the corresponding object-relational database schema (OR-Schema), a DI-Decomposer and a DI-Reconstructor, which are explained as follows:
1.
OR-Schema––an object-relational database schema in UniSQL/X format for a specific DTD.
2.
DI-Decomposer––a module decomposes XML document instances (DIs) according to the specific DTD format and stores the elements into the corresponding object-relational database.
3.
DI-Reconstructor––a module retrieves elements from the object-relational database and reconstructs it to recover the original DI.
These modules make XML documents be automatically decomposed into and reconstructed from object-relational databases in a seamless manner. Moreover, documents stored in the object-relational databases can be managed and inquired more easily than it could be in file systems or relational databases. Useful applications on various documents can also be easily built on top of the target database, such as digital libraries, data warehouses, and data or text mining systems. |
|---|---|
| AbstractList | Extensible markup language (XML), a simplified version of standard generalized markup language (SGML), is designed to enable electronic text interchange in the Internet. XML documents have a rigorously described structure that may be analyzed by computers and easily understood by humans. Most current approaches store XML documents in file systems or in relational database systems. However, the nature and the design of file system or relational database schema may cause limitations on fitting with XML document structure. In this paper, we present an automatic load/extract scheme to store and retrieve XML documents through object-relational databases. We propose an architecture, called XML meta-generator (XMG), which, after reading a specific document type definition (DTD), automatically generates the corresponding object-relational database schema (OR-Schema), a DI-Decomposer and a DI-Reconstructor, which are explained as follows:
1.
OR-Schema––an object-relational database schema in UniSQL/X format for a specific DTD.
2.
DI-Decomposer––a module decomposes XML document instances (DIs) according to the specific DTD format and stores the elements into the corresponding object-relational database.
3.
DI-Reconstructor––a module retrieves elements from the object-relational database and reconstructs it to recover the original DI.
These modules make XML documents be automatically decomposed into and reconstructed from object-relational databases in a seamless manner. Moreover, documents stored in the object-relational databases can be managed and inquired more easily than it could be in file systems or relational databases. Useful applications on various documents can also be easily built on top of the target database, such as digital libraries, data warehouses, and data or text mining systems. |
| Author | Tseng, Frank S.C. Hwung, Wen-Jong |
| Author_xml | – sequence: 1 givenname: Frank S.C. surname: Tseng fullname: Tseng, Frank S.C. email: imfrank@ccms.nkfust.edu.tw – sequence: 2 givenname: Wen-Jong surname: Hwung fullname: Hwung, Wen-Jong |
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| Cites_doi | 10.1145/233269.233368 10.1007/3-540-45271-0_10 10.1145/317665.317681 10.1145/191839.191901 10.1145/262762.262770 10.1109/DEXA.1999.795304 10.1016/S0099-1333(98)90108-2 10.1145/202660.202661 10.1145/49346.49347 10.1145/298151.298495 10.1109/WECWIS.2000.853868 10.1109/69.790821 10.1109/4236.939454 10.1007/s007780100052 10.1007/s007990050005 10.1016/0306-4573(90)90025-W |
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| Keywords | Object-relational database DI DTD XML |
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