Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/DEXA.2004.178 | DEXA Workshops |
Keywords | Field | DocType |
synopsis creation,approximate query,basic idea,synopses collection,approximate answer,original database,xml data,computational cost,xml document summarization,xquery transformation rule,heterogeneous xml datasets,concise data statistic,distributed databases,xml,knowledge based systems,xml document,query languages | Data mining,Efficient XML Interchange,Streaming XML,Information retrieval,Computer science,XML validation,Document Structure Description,XML database,XML schema,XML Schema Editor,Database,XQuery | Conference |
ISBN | Citations | PageRank |
0-7695-2195-9 | 4 | 0.47 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Comai | 1 | 677 | 85.04 |
| Stefania Marrara | 2 | 171 | 21.05 |
| Letizia Tanca | 3 | 2330 | 590.73 |