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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9445

Title: Curated Databases
Authors: BUNEMAN, Peter
TAN, Wang-Chiew
Issue Date: 2008
Publisher: ACM
Citation: Lenzerini, Maurizio & Lembo, Domenico (Ed.) PODS'08: Proceedings of the Twenty-Senventh ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems. p. 1-12.
Abstract: Curated databases are databases that are populated and updated with a great deal of human effort. Most reference works that one traditionally found on the reference shelves of libraries -- dictionaries, encyclopedias, gazetteers etc. -- are now curated databases. Since it is now easy to publish databases on the web, there has been an explosion in the number of new curated databases used in scientific research. The value of curated databases lies in the organization and the quality of the data they contain. Like the paper reference works they have replaced, they usually represent the efforts of a dedicated group of people to produce a definitive description of some subject area. Curated databases present a number of challenges for database research. Because they are heavily crossreferenced with, and include data from, other databases, the topics of provenance and citation are important; as is annotation, since of much of the work of a curator is annotating existing data. Because these databases often evolve from semistructured representations, and because they have to accommodate new scientific discoveries, evolution of structure is important. Much of the work in these areas is in its infancy, but it is beginning to suggest new research for both theory and practice. We discuss some of this research and emphasize the need to find appropriate models of the processes associated with curated databases.
URI: http://hdl.handle.net/1942/9445
Link to publication: http://doi.acm.org/10.1145/1376916.1376918
ISBN: 978-1-60558-108-8
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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