Study of the automatic construction of XML documents models from a relational data model

Abstract : End-users' information capture remains a sensitive challenge, especially when information is in the form of documents. The difficulty concerns information indexing so that information can be precisely queried. In the DRUID project, the end-user captures XML paragraph-centric documents (i.e. documents with tags delimiting narrative text paragraphs), and a transformation tool generates XML data-centric documents that can be stored in a database. The database can then be queried to retrieve documents. Data-centric and paragraph-centric documents conform to DTDs. In this article, we present algorithms to automatically generate DTDs from the database schema.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01506957
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Submitted on : Wednesday, April 12, 2017 - 12:33:52 PM
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Frederique Laforest, Mohamed-Salah Boumediene. Study of the automatic construction of XML documents models from a relational data model. 14th International Workshop on Database and Expert Systems Applications, 2003, Sep 2003, Prague, Czech Republic. pp.566-570, ⟨10.1109/DEXA.2003.1232082⟩. ⟨hal-01506957⟩

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