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Le résumé linguistique de données structurées comme support pour l'interrogation

Abstract : This thesis deals with using summaries of data in a querying process. The work discussed focuses on the linguistic summaries of the SaintEtiQ model, in which a summary describes the content of a relational table. The definition of linguistic variables allows to use terms from the natural language to characterize the structured data. In addition, the organization of summaries into a hierarchy based on generalization links offers various levels of granularity. On one hand, we study the possible use of summaries in a descriptive querying process. The aim is to characterize entirely the data on the basis of a partial characterization. We propose an approach which consists in searching for specific concepts, from the expression of queries to the presentation of results. An instantiation of the approach using a summary hierarchy traversal algorithm is part of the proposal. Then, a survey of flexible querying systems, some of which are based on fuzzy sets as SaintEtiQ is, allows us to provide additional functional- ities to the querying approach. On the other hand, we integrate linguistic summaries of the model into the DBMS PostgreSQL. The aim is to help the DBMS identify tuples by exploit- ing a summary hierarchy as an index structure. We provide a survey of indexing techniques as well as the details of implementing summaries as an index method under PostgreSQL.
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Submitted on : Wednesday, May 5, 2010 - 6:03:51 PM
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  • HAL Id : tel-00481049, version 1



W. Amenel Voglozin. Le résumé linguistique de données structurées comme support pour l'interrogation. Interface homme-machine [cs.HC]. Université de Nantes, 2007. Français. ⟨tel-00481049⟩



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