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With the emergence of XML as de facto format for storing and exchanginginformation over the Internet, the search for ever more innovative andeffective techniques for their querying is a major and current concern of theXML database community. Several studies carried out to help solve this problemare mostly oriented towards the evaluation of so-called exact queries which,unfortunately, are likely (especially in the case of semi-structured documents)to yield abundant results (in the case of vague queries) or empty results (inthe case of very precise queries). From the observation that users who makerequests are not necessarily interested in all possible solutions, but ratherin those that are closest to their needs, an important field of research hasbeen opened on the evaluation of preferences queries. In this paper, we proposean approach for the evaluation of such queries, in case the preferences concernthe structure of the document. The solution investigated revolves around theproposal of an evaluation plan in three phases: rewriting-evaluation-merge. Therewriting phase makes it possible to obtain, from a partitioning-transformation operation of the initial query, a hierarchical set ofpreferences path queries which are holistically evaluated in the second phaseby an instrumented version of the algorithm TwigStack. The merge phase is thesynthesis of the best results.

Holistic evaluation of XML queries with structural preferences on an annotated strong dataguide