Home » Research » Research outputs » Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data

Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data

2016

  • Authors:
    Willem Coetzer , Deshen Moodley , Aurona Gerber

    Publication date:
    2016

    Institution:
    CSIR Meraka Institute, UKZN, UCT, UP

    Output type:
    Journal paper

    Abstract:

    Observations of individual organisms (data) can be combined with expert ecological knowledge of species, especially causal knowledge, to model and extract from flower–visiting data useful information about behavioral interactions between insect and plant organisms, such as nectar foraging and pollen transfer. We describe and evaluate a method to elicit and represent such expert causal knowledge of behavioral ecology, and discuss the potential for wider application of this method to the design of knowledge-based systems for knowledge discovery in biodiversity and ecosystem informatics.

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