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A Case-Study of Ontology-Driven Semantic Mediation of Flower-Visiting Data from Heterogeneous Data-Stores in Three South African Natural History Collections

  • Willem Coetzer
  • Deshendran Moodley
  • Aurona Gerber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)

Abstract

The domain complexity and structural- and semantic heterogeneity of biodiversity data, as well as idiosyncratic legacy data-creation processes, present significant integration and interoperability challenges. In this paper we describe a case-study of ontology-driven semantic mediation using records of flower-visiting insects from three natural history collections in South Africa. We establish a conceptual domain model for flower-visiting, expressed in an OWL ontology, and use it to semantically enrich the three data-stores. We show how this enrichment allows for the creation of an integrated flower-visiting dataset. We discuss how the ontology captures both implicit and explicit knowledge, and we show how the ontology can be used to identify and analyze high-level flower-visiting behaviour. We propose that a system that employs this ontology for semantic enrichment and semantic mediation may be used to automatically construct flower-visiting and pollination networks, the manually constructed equivalents of which are routinely used by domain scientists to analyze their data.

Keywords

biodiversity information semantic mediation ontology plant-insect interactions pollination 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Willem Coetzer
    • 1
    • 2
  • Deshendran Moodley
    • 1
    • 2
  • Aurona Gerber
    • 1
    • 2
  1. 1.CAIR (Centre for Artificial Intelligence Research)University of KwaZulu-NatalDurbanSouth Africa
  2. 2.CSIR MerakaPretoriaSouth Africa

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