Automatically documenting program changes
Proceedings of the IEEE/ACM international conference on Automated software engineering
Web and semantic web query languages: a survey
Proceedings of the First international conference on Reasoning Web
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This paper presents a methodology to support approximate queries over massive and heterogeneous XML datasets, based on concise data statistics such as histograms or other statistical techniques. The basic idea for approximate answers is to store pre-computed summaries of the XML data, also called synopses, and to query them instead of the original database, thus saving time and computational costs. In particular, in this paper we concentrate on a set of XQuery transformation rules for the construction of the synopses collection and for querying the synopsis.