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XML Storage in Relational Databases: An Approach Combining Description Logic and Statistics

XML Storage in Relational Databases: An Approach Combining Description Logic and Statistics
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Author(s): Mourad Ouziri (Laboratoire d’Ingenierie des Systemes d’Information (LISI), France) and Christine Verdier (Laboratoire d’Ingenierie des Systemes d’Information (LISI), France)
Copyright: 2003
Pages: 4
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch202
ISBN13: 9781616921248
EISBN13: 9781466665330

Abstract

We propose in this paper to jointly use the description logic (DL) and probabilistic approaches to store documents in relational databases. The description logic is used to generate a first database schema by reasoning capabilities over the conceptual part of the documents. The resulting schema is normalized. Indeed, we add to the DL knowledge base, which represents the documents, some ontological assertions specified in the DL formalism. Then probabilistic calculus is used to optimise the generated database schema by computing some statistical measurements over the extensional part of the documents.

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