Techniques for effective integration, maintenance and evolution of species databases
Techniques for effective integration, maintenance and evolution of species databases
The LITCHI project is concerned with the integration and maintenance of databases of biological knowledge organized by species. We use constraints pertaining to good taxonomic practice in order to identify taxonomic conflicts in individual species databases and in databases formed by merging species databases from distinct sources. The LITCHI system can be used to resolve such conflicts incrementally. As the project has progressed, we have identified a number of distinctive features of the problem domain, and needs of the intended users, which have had a significant impact on the techniques and modes of operation that we found to be appropriate, especially in contrast with applications that handle rapidly-accumulating `raw' data. It is upon these aspects of LITCHI that we concentrate in the present paper, viewing LITCHI as an example of the more general problem of merging scientific data sets in which conflicts between the terminology used can occur.
3-13
Jones, Andrew C.
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Sutherland, Iain
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Embury, Suzanne M.
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Gray, W. Alex
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White, Richard J.
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Robinson, John S.
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Bisby, Frank A.
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Brandt, Sue M.
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2000
Jones, Andrew C.
e45d4bb3-01a6-44f5-83c3-2d57469a42ec
Sutherland, Iain
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Embury, Suzanne M.
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Gray, W. Alex
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White, Richard J.
b259b543-0cd6-475c-b31e-f2434b69c798
Robinson, John S.
44327568-9728-46ec-89d4-f9fde6a88c63
Bisby, Frank A.
a6abba6b-344d-4098-8a03-e218f7ecb8ce
Brandt, Sue M.
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Jones, Andrew C., Sutherland, Iain, Embury, Suzanne M., Gray, W. Alex, White, Richard J., Robinson, John S., Bisby, Frank A. and Brandt, Sue M.
(2000)
Techniques for effective integration, maintenance and evolution of species databases.
SSDBM 2000: 12th International Conference on Scientific and Statistical Database Management, , Berlin, Ger.
26 - 28 Jul 2000.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The LITCHI project is concerned with the integration and maintenance of databases of biological knowledge organized by species. We use constraints pertaining to good taxonomic practice in order to identify taxonomic conflicts in individual species databases and in databases formed by merging species databases from distinct sources. The LITCHI system can be used to resolve such conflicts incrementally. As the project has progressed, we have identified a number of distinctive features of the problem domain, and needs of the intended users, which have had a significant impact on the techniques and modes of operation that we found to be appropriate, especially in contrast with applications that handle rapidly-accumulating `raw' data. It is upon these aspects of LITCHI that we concentrate in the present paper, viewing LITCHI as an example of the more general problem of merging scientific data sets in which conflicts between the terminology used can occur.
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Published date: 2000
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Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
Venue - Dates:
SSDBM 2000: 12th International Conference on Scientific and Statistical Database Management, , Berlin, Ger, 2000-07-26 - 2000-07-28
Identifiers
Local EPrints ID: 452526
URI: http://eprints.soton.ac.uk/id/eprint/452526
PURE UUID: 674bff06-2300-4d16-ac07-c34b415988c5
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Date deposited: 11 Dec 2021 11:26
Last modified: 27 Sep 2023 16:50
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Contributors
Author:
Andrew C. Jones
Author:
Iain Sutherland
Author:
Suzanne M. Embury
Author:
W. Alex Gray
Author:
Richard J. White
Author:
John S. Robinson
Author:
Frank A. Bisby
Author:
Sue M. Brandt
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