Interactive visualisation tools for supporting taxonomists working practice.

Cannon, Alan (2006) Interactive visualisation tools for supporting taxonomists working practice. PhD thesis, Edinburgh Napier University.

Available under License Creative Commons Attribution Non-commercial.

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    The necessity for scientists and others to use consistent terminology has recently been
    regarded as fundamental to advancing scientific research, particularly where data from
    disparate sources must be shared, compared or integrated. One area where there are
    significant difficulties with the quality of collected data is the field of taxonomic
    description. Taxonomic description lies at the heart of the classification of organisms
    and communication of ideas of biodiversity. As part of their working practice,
    taxonomists need to gather descriptive data about a number of specimens on a
    consistent basis for individual projects. Collecting semantically well-defined structured
    data could improve the clarity and comparability of such data. No tools however
    currently exist to allow taxonomists to do so within their working practice.

    Ontologies are increasingly used to describe and define complex domain data. As a part
    of related research an ontology of descriptive terminology for controlling the storage
    and use of flowering plant description data was developed.

    This work has applied and extended model-based user interface development
    environments to utilise such an ontology for the automatic generation of appropriate
    data entry interfaces that support semantically well defined and structured descriptive
    data. The approach taken maps the ontology to a system domain model, which a
    taxonomist can then specialise using their domain expertise, for their data entry needs as
    required for individual projects. Based on this specialised domain knowledge, the
    system automatically generates appropriate data entry interfaces that capture data
    consistent with the original ontology. Compared with traditional model-based user
    automatic interface development environments, this approach also has the potential to
    reduce the labour requirements for the expert developer.

    The approach has also been successfully tested to generate data entry interfaces based
    on an XML schema for the exchange of biodiversity datasets.

    Item Type: Thesis (PhD)
    Uncontrolled Keywords: taxonomy; classification; model-based user interface development environments; ontologies; data entry interfaces;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods
    000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3462
    Depositing User: Computing Research
    Date Deposited: 09 Feb 2010 13:01
    Last Modified: 12 Jan 2011 04:53

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