A knowledge-based system for generating interaction networks from ecological data

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dc.contributor.author Coetzer, Willem
dc.contributor.author Moodley, Deshendran
dc.contributor.author Gerber, Aurona Jacoba
dc.date.accessioned 2017-10-31T09:01:33Z
dc.date.issued 2017-11
dc.description.abstract Semantic heterogeneity hampers efforts to find, integrate, analyse and interpret ecological data. An application case-study is described, in which the objective was to automate the integration and interpretation of heterogeneous, flower-visiting ecological data. A prototype knowledge-based system is described and evaluated. The system's semantic architecture uses a combination of ontologies and a Bayesian network to represent and reason with qualitative, uncertain ecological data and knowledge. This allows the high-level context and causal knowledge of behavioural interactions between individual plants and insects, and consequent ecological interactions between plant and insect populations, to be discovered. The system automatically assembles ecological interactions into a semantically consistent interaction network (a new design of a useful, traditional domain model). We discuss the contribution of probabilistic reasoning to knowledge discovery, the limitations of knowledge discovery in the application case-study, the impact of the work and the potential to apply the system design to the study of ecological interaction networks in general. en_ZA
dc.description.department Informatics en_ZA
dc.description.embargo 2018-11-01
dc.description.librarian hj2017 en_ZA
dc.description.uri http://www.elsevier.com/ locate/datak en_ZA
dc.identifier.citation Coetzer, W., Moodley, D. & Gerber, A. 2017, 'A knowledge-based system for generating interaction networks from ecological data', Data and Knowledge Engineering, vol. 112, pp. 55-78. en_ZA
dc.identifier.issn 0169-023X (print)
dc.identifier.issn 1872-6933 (online)
dc.identifier.other 10.1016/j.datak.2017.09.005
dc.identifier.uri http://hdl.handle.net/2263/62982
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2017 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Data and Knowledge Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Data and Knowledge Engineering, vol. 112, pp. 55-78, 2017. doi : 10.1016/j.datak.2017.09.005. en_ZA
dc.subject Semantic heterogeneity en_ZA
dc.subject Ontologies en_ZA
dc.subject Bayesian network en_ZA
dc.subject Knowledge discovery en_ZA
dc.subject Semantic architecture en_ZA
dc.subject Interaction network en_ZA
dc.subject Ecological interactions en_ZA
dc.subject Data mining en_ZA
dc.subject Ecology en_ZA
dc.subject Network architecture en_ZA
dc.subject Knowledge based systems en_ZA
dc.subject Domain model en_ZA
dc.subject Ecological data en_ZA
dc.subject Ecological interaction networks en_ZA
dc.subject Probabilistic reasoning en_ZA
dc.title A knowledge-based system for generating interaction networks from ecological data en_ZA
dc.type Postprint Article en_ZA


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