Eliciting and representing high-level knowledge requirements to discover ecological knowledge in flower-visiting data

Coetzer, Willem; Moodley, Deshendran; Gerber, Aurona Jacoba

Eliciting and representing high-level knowledge requirements to discover ecological knowledge in flower-visiting data

dc.contributor.author	Coetzer, Willem
dc.contributor.author	Moodley, Deshendran
dc.contributor.author	Gerber, Aurona Jacoba
dc.date.accessioned	2016-12-21T08:02:16Z
dc.date.available	2016-12-21T08:02:16Z
dc.date.issued	2016-11-16
dc.description	S1 File. Elicitation of expert knowledge. Experts were asked to read an explanation of how a Bayesian network can be used to represent knowledge, and then answer questions as to the completeness of the presented model and whether the results of running the Bayesian network using sample data were reasonable.	en_ZA
dc.description.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.	en_ZA
dc.description.department	Informatics	en_ZA
dc.description.librarian	am2016	en_ZA
dc.description.uri	http://www.plosone.org	en_ZA
dc.identifier.citation	Coetzer W, Moodley D, Gerber A (2016) Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data. PLoS ONE 11(11): e0166559. DOI: 10.1371/journal.pone.0166559.	en_ZA
dc.identifier.issn	1932-6203
dc.identifier.other	10.1371/journal.pone.0166559
dc.identifier.uri	http://hdl.handle.net/2263/58438
dc.language.iso	en	en_ZA
dc.publisher	Public Library of Science	en_ZA
dc.rights	© 2016 Coetzer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.	en_ZA
dc.subject	Knowledge	en_ZA
dc.subject	Flower	en_ZA
dc.subject	Plant organisms	en_ZA
dc.subject	Insect	en_ZA
dc.subject	Knowledge requirements	en_ZA
dc.subject	Ecological knowledge	en_ZA
dc.subject	Flower-visiting data	en_ZA
dc.subject	Individual organisms (data)	en_ZA
dc.subject	Behavioral interactions	en_ZA
dc.title	Eliciting and representing high-level knowledge requirements to discover ecological knowledge in flower-visiting data	en_ZA
dc.type	Article	en_ZA