Advances in Database Technology — EDBT 2002: 8th by Hans-Jörg Schek (auth.), Christian S. Jensen, Simonas à

By Hans-Jörg Schek (auth.), Christian S. Jensen, Simonas à altenis, Keith G. Jeffery, Jaroslav Pokorny, Elisa Bertino, Klemens Böhn, Matthias Jarke (eds.)

This ebook constitutes the refereed lawsuits of the eighth overseas convention on Extending Database expertise, EDBT 2002, held in Prague, Czech Republic, in March 2002.
The 36 revised complete papers provided including six commercial and alertness papers, thirteen software program demos and one invited paper have been conscientiously reviewed and chosen from a complete of 207 submissions. The papers are geared up in topical sections on question transformation, info mining, XML, complicated question processing, relocating gadgets, disbursed info, disbursed processing, complex querying, XML-advanced querying, basic question providers, estimation/histograms, and aggregation.

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Extra resources for Advances in Database Technology — EDBT 2002: 8th International Conference on Extending Database Technology Prague, Czech Republic, March 25–27, 2002 Proceedings

Example text

We support a set of values since in a Query-by-Example paradigm it often makes sense to compute the similarity of an object with respect to multiple examples rather than just one [17,21]. To offer flexibility to the user, similarity predicates may take additional parameters to configure the predicate and adapt it to a specific situation, for example parameters may include weights that indicate a preferred matching direction between geographic locations, or select between Manhattan and Euclidean distance models.

World Wide Web Conference (WWW7). 4. Ricardo Baeza-Yates and Ribeiro-Neto. Modern Information Retrieval. ACM Press Series/Addison Wesley, New York, May 1999. 5. Ilaria Bartolini, Paolo Ciaccia, and Florian Waas. Feedback bypass: A new approach to interactive similarity query processing. In 27th Very Large Databases (VLDB), Rome, Italy, September 2001. 6. J. P. Callan, W. B. Croft, and S. M. Harding. The inquery retrieval system. In In Proceedings of the Third International Conference on Database and Expert Systems Applications, Valencia, Spain, 1992.

The amount of feedback may vary from user to user; here we explore how the amount of feedback affects the retrieval quality. Empirically, even a few feedback judgments can improve query results substantially. We explore the same 4 queries from above and give tuple level feedback for 2, 4 and 8 tuples. The results are shown in figures 6a,c,d) respectively. 8 1 Recall c) Tuple Feedback (4 tuple feedback) d) Tuple Feedback (8 tuple feedback) Fig. 6. Precision–recall graphs averaged for 5 queries for different amount and granularity of feedback is competitive with tuple level feedback for 8 tuples.

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