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LITCHI: knowledge integrity testing for taxonomic databases

LITCHI: knowledge integrity testing for taxonomic databases
LITCHI: knowledge integrity testing for taxonomic databases

The Logic-based Integration of Taxonomic Conflicts in Heterogeneous Information Systems (LITCHI) project is initiated with the aim of developing software to enable the automated detection and, where possible, resolution of conflicts in taxonomic checklists. To support this project, a formal model is constructed of the way scientific names are used to denote taxa in common taxonomic practice. The model is then used to derive sets of Prolog rules which will detect conflicts in taxonomic checklists stored in a relational DBMS.

278
Sutherland, Iain
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Embury, Suzanne M.
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Jones, Andrew C.
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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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Sutherland, Iain
9e8506d0-fcc0-4fb3-b8b6-061d76810874
Embury, Suzanne M.
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Jones, Andrew C.
e45d4bb3-01a6-44f5-83c3-2d57469a42ec
Gray, W. Alex
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White, Richard J.
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Robinson, John S.
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Bisby, Frank A.
a6abba6b-344d-4098-8a03-e218f7ecb8ce
Brandt, Sue M.
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Sutherland, Iain, Embury, Suzanne M., Jones, Andrew C., Gray, W. Alex, White, Richard J., Robinson, John S., Bisby, Frank A. and Brandt, Sue M. (1999) LITCHI: knowledge integrity testing for taxonomic databases. Proceedings of the 1999 11th International Conference on Scientific and Statistical Database Management (SSDBM'99), , Cleveland, OH, USA. 28 - 30 Jul 1999. p. 278 .

Record type: Conference or Workshop Item (Paper)

Abstract

The Logic-based Integration of Taxonomic Conflicts in Heterogeneous Information Systems (LITCHI) project is initiated with the aim of developing software to enable the automated detection and, where possible, resolution of conflicts in taxonomic checklists. To support this project, a formal model is constructed of the way scientific names are used to denote taxa in common taxonomic practice. The model is then used to derive sets of Prolog rules which will detect conflicts in taxonomic checklists stored in a relational DBMS.

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More information

Published date: 1999
Additional Information: Copyright: Copyright 2008 Elsevier B.V., All rights reserved.
Venue - Dates: Proceedings of the 1999 11th International Conference on Scientific and Statistical Database Management (SSDBM'99), , Cleveland, OH, USA, 1999-07-28 - 1999-07-30

Identifiers

Local EPrints ID: 452524
URI: http://eprints.soton.ac.uk/id/eprint/452524
PURE UUID: 9efc35a8-34d1-4480-8548-506c0a2647e9

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Date deposited: 11 Dec 2021 11:26
Last modified: 27 Sep 2023 16:50

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Contributors

Author: Iain Sutherland
Author: Suzanne M. Embury
Author: Andrew C. Jones
Author: W. Alex Gray
Author: Richard J. White
Author: John S. Robinson
Author: Frank A. Bisby
Author: Sue M. Brandt

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