Coetzer, WMoodley, DGerber, A2014-10-282014-10-282014-11Coetzer, W, Moodley, D and Gerber, A. 2014. A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: a case-study of flower-visiting ecology. Ecological Informatics, vol.24, pp 47-491574-9541http://ac.els-cdn.com/S157495411400082X/1-s2.0-S157495411400082X-main.pdf?_tid=9821d0b6-5de4-11e4-ad3d-00000aab0f6b&acdnat=1414419891_eb0513a83b095a1bbd5eec4fa8b8e1cbhttp://hdl.handle.net/10204/7749Copyright: 2014 Elsevier. This is an abstract version of the work. The definitive verson is published in Ecological Informatics, vol.24, pp 47-59We modeled expert knowledge of arthropod flower-visiting behavioral ecology and represented this in an event-centric domain ontology, which we describe along with the ontology construction process. Two smaller domain ontologies were created to represent expert knowledge of known flower-visiting insect groups and expert knowledge of the flower-visiting behavioral ecology of Rediviva bees. Two application ontologies were designed, which, together with the domain ontologies, constituted the ontology framework of a prototype semantic enrichment and mediation system that we designed and implemented to improve semantic interoperability between flower-visiting data-stores. We describe and evaluate the system implementation in a case-study of three flower-visiting data-stores, and we discuss the system's scalability, extension and potential impact. We demonstrate how the system is able to dynamically extract complex ecological interactions from heterogeneous specimen data-stores. The conceptual stance and modeling approach are potentially of general use in representing knowledge of animal behavior and ecological interactions, and in engineering semantic interoperability between data-stores containing behavioral ecology data.enSemantic interoperabilityBiodiversity and ecosystem informaticsFlower-visiting behavioral ecologyOntologiesConceptual modelingEvent-centric perspectivesArticleCoetzer, W., Moodley, D., & Gerber, A. (2014). A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: a case-study of flower-visiting ecology. http://hdl.handle.net/10204/7749Coetzer, W, D Moodley, and A Gerber "A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: a case-study of flower-visiting ecology." (2014) http://hdl.handle.net/10204/7749Coetzer W, Moodley D, Gerber A. A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: a case-study of flower-visiting ecology. 2014; http://hdl.handle.net/10204/7749.TY - Article AU - Coetzer, W AU - Moodley, D AU - Gerber, A AB - We modeled expert knowledge of arthropod flower-visiting behavioral ecology and represented this in an event-centric domain ontology, which we describe along with the ontology construction process. Two smaller domain ontologies were created to represent expert knowledge of known flower-visiting insect groups and expert knowledge of the flower-visiting behavioral ecology of Rediviva bees. Two application ontologies were designed, which, together with the domain ontologies, constituted the ontology framework of a prototype semantic enrichment and mediation system that we designed and implemented to improve semantic interoperability between flower-visiting data-stores. We describe and evaluate the system implementation in a case-study of three flower-visiting data-stores, and we discuss the system's scalability, extension and potential impact. We demonstrate how the system is able to dynamically extract complex ecological interactions from heterogeneous specimen data-stores. The conceptual stance and modeling approach are potentially of general use in representing knowledge of animal behavior and ecological interactions, and in engineering semantic interoperability between data-stores containing behavioral ecology data. DA - 2014-11 DB - ResearchSpace DP - CSIR KW - Semantic interoperability KW - Biodiversity and ecosystem informatics KW - Flower-visiting behavioral ecology KW - Ontologies KW - Conceptual modeling KW - Event-centric perspectives LK - https://researchspace.csir.co.za PY - 2014 SM - 1574-9541 T1 - A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: a case-study of flower-visiting ecology TI - A knowledge-based system for discovering ecological interactions in biodiversity data-stores of heterogeneous specimen-records: a case-study of flower-visiting ecology UR - http://hdl.handle.net/10204/7749 ER -