A model to query document databases by both their content and structure is presented. The goal is to obtain a query language that is expressive in practice while being efficiently implementable, features not present at the same time in previous work. The key ideas of the model are a set-oriented query language based on operations on nearby structure elements of one or more hierarchies, together with content and structural indexing and bottom-up evaluation. The model is evaluated in regard to expressiveness and efficiency, showing that it provides a good trade-off between both goals. Finally, it is shown how to include in the model other media different from text.
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Navarro et al. (1997) studied this question.
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