title: Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data.
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.
authors.affiliation: SAIAB: South African Institute for Aquatic Biodiversity, Private Bag 1015, Grahamstown 6140, South Africa.|CAIR: Centre for Artificial Intelligence Research, CSIR Meraka, PO Box 395, Pretoria, 0001, South Africa.|School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa.
authors.forename: Willem
authors.identifier: http://orcid.org/0000-0003-2214-3910
authors.initials: W
authors.lastname: Coetzer
authors.affiliation: CAIR: Centre for Artificial Intelligence Research, CSIR Meraka, PO Box 395, Pretoria, 0001, South Africa.|Department of Computer Science, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa.
authors.forename: Deshendran
authors.initials: D
authors.lastname: Moodley
authors.affiliation: CAIR: Centre for Artificial Intelligence Research, CSIR Meraka, PO Box 395, Pretoria, 0001, South Africa.|Department of Informatics, University of Pretoria, Private Bag X20, Hatfield, 0028, South Africa.
authors.forename: Aurona
authors.initials: A
authors.lastname: Gerber
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D001522:Behavior, Animal; D044822:Biodiversity; D017753:Ecosystem; D035264:Flowers / Q000502:physiology*; D007313:Insecta / Q000502:physiology*; D019359:Knowledge; D011058:Pollen / Q000502:physiology; D011336:Probability; D015203:Reproducibility of Results