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 |