Reconciling Folksonomic Tagging with Taxa for Bioacoustic Annotations

  • Anthony Truskinger
  • Ian Newmarch
  • Mark Cottman-Fields
  • Jason Wimmer
  • Michael Towsey
  • Jinglan Zhang
  • Paul Roe
Conference paper

DOI: 10.1007/978-3-642-41230-1_25

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8180)
Cite this paper as:
Truskinger A. et al. (2013) Reconciling Folksonomic Tagging with Taxa for Bioacoustic Annotations. In: Lin X., Manolopoulos Y., Srivastava D., Huang G. (eds) Web Information Systems Engineering – WISE 2013. WISE 2013. Lecture Notes in Computer Science, vol 8180. Springer, Berlin, Heidelberg

Abstract

Acoustic sensors are increasingly used to monitor biodiversity. They can remain deployed in the environment for extended periods to passively and objectively record the sounds of the environment. The collected acoustic data must be analyzed to identify the presence of the sounds made by fauna in order to understand biodiversity. Citizen scientists play an important role in analyzing this data by annotating calls and identifying species.

This paper presents our research into bioacoustic annotation techniques. It describes our work in defining a process for managing, creating, and using tags that are applied to our annotations. This paper includes a detailed description of our methodology for correcting and then linking our folksonomic tags to taxonomic data sources.

Providing tools and processes for maintaining species naming consistency is critical to the success of a project designed to generate scientific data. We demonstrate that cleaning the folksonomic data and providing links to external taxonomic authorities enhances the scientific utility of the tagging efforts of citizen scientists.

Keywords

tagging citizen science folksonomy taxonomy linking annotation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Anthony Truskinger
    • 1
  • Ian Newmarch
    • 1
  • Mark Cottman-Fields
    • 1
  • Jason Wimmer
    • 1
  • Michael Towsey
    • 1
  • Jinglan Zhang
    • 1
  • Paul Roe
    • 1
  1. 1.Queensland University of TechnologyBrisbaneAustralia

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