UCT CS Research Document Archive

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

Coetzer, Willem, Deshendran Moodley and Aurona Gerber (2016) Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data. PLoS ONE 11(11).

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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.

EPrint Type:Journal (On-line/Unpaginated)
Subjects:J Computer Applications: J.3 LIFE AND MEDICAL SCIENCES
ID Code:1127
Deposited By:Moodley, Deshen
Deposited On:10 December 2016
Alternative Locations:http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166559