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.
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.
Botha, Antonie Christoffel(University of Pretoria, 2010-07-08)
Rapid change is a defining characteristic of our modern society. This has huge impact on society, governments, and businesses. Businesses are forced to fundamentally transform themselves to survive in a challenging economy. ...
Sedumedi, Thomas Dipogiso Tshipa(University of Pretoria, 2008-10-28)
Science has been perceived as difficult to learn because of its nature and the methods by which it is usually taught. Most first-year science students entering higher education in South Africa today come from disadvantaged ...
Holmner, Marlene Amanda(University of Pretoria, 2008-12-19)
Benefiting from the process of globalisation and becoming an information and knowledge society, has become the vision for many governments throughout the world. However, as it has been demonstrated in this thesis, becoming ...