Ornithology Based on Linking Bird Observations with Weather Data

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

This paper presents the first results of a use case of Linked Data for eScience, where 0.5 million rows of bird migration observations over 30 years time span are linked with 0.1 million rows of related weather observations and a bird species ontology. Using the enriched linked data, biology researchers at the Finnish Museum of Natural History will be able to investigate temporal changes in bird biodiversity and how weather conditions affect bird migration. To support data exploration, the data is published in a SPARQL endpoint service using the RDF Data Cube model, on which semantic search and visualization tools are built.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mikko Koho
    • 1
    • 2
    • 3
  • Eero Hyvönen
    • 2
    • 3
  • Aleksi Lehikoinen
    • 4
  1. 1.CSC - IT Center for Science Ltd.EspooFinland
  2. 2.Semantic Computing Research Group (SeCo)Aalto UniversityEspooFinland
  3. 3.Semantic Computing Research Group (SeCo)University of HelsinkiHelsinkiFinland
  4. 4.The Finnish Museum of Natural HistoryUniversity of HelsinkiHelsinkiFinland

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