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Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data pp 73–82Cite as

Fish4Knowledge Database Structure, Creating and Sharing Scientific Data

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 104))

Abstract

The Fish4Knowledge database is unique in the amount of video analysis information it contains. Because of this, the Fish4Knowledge project decided to make this data as available as possible to the rest of the world. The database is organized as a relation datastore, which can also be accessed through an RDF schema that is linked to the Linked Open Data Cloud. Both schemas are summarized here to explain the data acquired in the project and how this data is organized. Because of the large amount of data, downloading the entire database obtained by this project seems to be impossible. However, the original user interface of the project can display summary information of the database. Information in a more raw format can also be obtain from our website, where we provide both the video and the automatic analysis of fish observed in each video in a readable format (CSV: Comma-Separated Values). This allows future researchers to both use this research and also go beyond the research performed in the Fish4Knowledge project. This data is of particular interest to researchers in Marine Ecology and Image Processing/Computer Vision.

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Notes

  1. 1.

    http://www.w3.org/TR/2011/WD-rdb-direct-mapping-20110324/.

  2. 2.

    http://www.w3.org/2001/sw/rdb2rdf/.

  3. 3.

    http://ckan.net/package/dbpedia.

  4. 4.

    http://ckan.net/package/geonames.

References

  • Boom, B.J., J. He, S. Palazzo, P.X. Huang, C. Beyan, H.-M. Chou, F.-P. Lin, C. Spampinato, and R.B. Fisher. 2014. A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage. Ecological Informatics 23(0): 83–97. Special Issue on Multimedia in Ecology and Environment.

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  • Palazzo, S., C. Spampinato, and J. van Ossenbruggen. 2011. Fish4knowledge Deliverable D5.2 - rdf/rdms datastore definition. Technical Report Del 5.2, Fish4Knowledge Project.

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  • Vougioukas, K., B.J. Boom, and R.B. Fisher. 2013. Adaptive deblurring of surveillance video sequences that deteriorate over time. 20th IEEE international conference on image processing (ICIP), 1085–1089.

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Author information

Authors and Affiliations

  1. Cyclomedia, Van Voordenpark 1b, 5301 KP, Holland, Zaltbommel, The Netherlands

    Bastiaan J. Boom

Authors
  1. Bastiaan J. Boom
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Corresponding author

Correspondence to Bastiaan J. Boom .

Editor information

Editors and Affiliations

  1. School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

    Robert B. Fisher

  2. Heriot-Watt University, Edinburgh, United Kingdom

    Yun-Heh Chen-Burger

  3. Universita Degli Studi Di Catania, Catania, Italy

    Daniela Giordano

  4. Informatica (CWI), Centrum Wiskunde &, Amsterdam, The Netherlands

    Lynda Hardman

  5. High Performance Computing, National Center of, HsinChu, Taiwan

    Fang-Pang Lin

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© 2016 Springer International Publishing Switzerland

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Boom, B.J. (2016). Fish4Knowledge Database Structure, Creating and Sharing Scientific Data. In: Fisher, R., Chen-Burger, YH., Giordano, D., Hardman, L., Lin, FP. (eds) Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data. Intelligent Systems Reference Library, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-319-30208-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-30208-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30206-5

  • Online ISBN: 978-3-319-30208-9

  • eBook Packages: EngineeringEngineering (R0)

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