Techniques for effective integration, maintenance and evolution of species databases

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM|Proc. Int. Conf. Sci. Stat. Database Manage. SSDBM
    Place of PublicationLos Alamitos, CA, United States
    PublisherIEEE
    Pages3-13
    Number of pages10
    Publication statusPublished - 2000
    EventSSDBM 2000: 12th International Conference on Scientific and Statistical Database Management - Berlin, Ger
    Duration: 1 Jul 2000 → …
    http://dblp.uni-trier.de/db/conf/ssdbm/ssdbm2000.html#JonesSEGWRBB00http://dblp.uni-trier.de/rec/bibtex/conf/ssdbm/JonesSEGWRBB00.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/ssdbm/JonesSEGWRBB00

    Conference

    ConferenceSSDBM 2000: 12th International Conference on Scientific and Statistical Database Management
    CityBerlin, Ger
    Period1/07/00 → …
    Internet address

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