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

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

PDF journal.pone.0166559.pdf Download (2MB)

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.

Item Type:	Journal article (online only)
Subjects:	Applied computing > Life and medical sciences
Alternate Locations:	http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166559
Date Deposited:	10 Dec 2016
Last Modified:	10 Oct 2019 15:32
URI:	http://pubs.cs.uct.ac.za/id/eprint/1127

Actions (login required)

View Item