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This Festschrift volume, published in honour of Peter Buneman,
contains contributions written by some of his colleagues, former
students, and friends. In celebration of his distinguished career a
colloquium was held in Edinburgh, Scotland, 27-29 October, 2013.
The articles presented herein belong to some of the many areas of
Peter's research interests.
In September 2008, Google News promoted an undated article about
United Airlines' near bankruptcy in 2002. In the ensuing panic, the
share price of United Airlines dropped by around 75% in a few
hours. This problem was due in part to the fact that the article
lacked provenance that readers could have used to determine that it
was out of date. In an increasingly networked world, understanding
of provenance is essential for establishing trust in data stored in
databases and exchanged among Web sites. It is also critical to the
process of making key business, scientific, and governmental
decisions. Modern database systems are capable of producing answers
efficiently. However, they are generally lacking capabilities to
explain provenance such as why and how the answers were produced,
or where the data in the result came from. In recent years,
different notions of provenance for database queries have been
studied by the authors and a growing community of researchers in
databases and scientific computation. Provenance in Databases
reviews research over the past ten years on why, how, and where
provenance, clarifies the relationships among these notions of
provenance, and describes some of their applications in confidence
computation, view maintenance and update, debugging, and annotation
propagation. Provenance in Databases is intended for engineers and
researchers who would like to familiarize themselves with the
foundations, as well as the many challenges in the field of
database provenance.
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