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Heterogeneous Data Integration Using Web of Data Technologies

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Web and Wireless Geographical Information Systems (W2GIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10181))

Abstract

The Coordinated Online Information Network (COIN) is a spatial data infrastructure (SDI) which provides an online network of resources to share, use and integrate information of geographic locations in North Canada. COIN incorporates semantic web technology that integrates, publishes and visualizes time series water data allowing users to access a multitude of datasets in order to compare the data and draw conclusions. COIN utilizes a number of standards from OGC (Open Geospatial Consortium) and W3C (Resource Description Framework, RDF, Web Ontology Language OWL, SPARQL query language for RDF) and GeoSPARQL for geospatial query). COIN benefits from generic ontologies transforming data into semantics, enriching data sets and making the data available and interoperable via WFS and WMS standards. These principles facilitate publication and exchange of data across the web, increasing transparency and interpretability. Through modernized data submission and retrieval we hope to break down the silos of data, allowing users to visualize time series water quality and hydrometric data from multiple sources to increase knowledge in relationship to impacts on Yukon water.

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Author information

Authors and Affiliations

  1. Université Grenoble-Alpes CNRS LIG, IMAG building - 700 avenue Centrale, Domaine Universitaire, 38401, Grenoble St Martin d’Hères, France

    Danielle Ziébelin, Philippe Genoud & Sylvain Bouveret

  2. Yukon Water Board, Suite 106, 419 Range Road, Whitehorse, Yukon, Y1A 3V1, Canada

    Kim Hobus

Authors
  1. Danielle Ziébelin
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  2. Kim Hobus
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  3. Philippe Genoud
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  4. Sylvain Bouveret
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Corresponding author

Correspondence to Danielle Ziébelin .

Editor information

Editors and Affiliations

  1. Naval Academy Research Institute , Brest, France

    David Brosset

  2. Naval Academy Research Institute , Brest, France

    Christophe Claramunt

  3. East Normal China University, Shanghai, China

    Xiang Li

  4. Shanghai Maritime University, Shanghai, China

    Tianzhen Wang

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Ziébelin, D., Hobus, K., Genoud, P., Bouveret, S. (2017). Heterogeneous Data Integration Using Web of Data Technologies. In: Brosset, D., Claramunt, C., Li, X., Wang, T. (eds) Web and Wireless Geographical Information Systems. W2GIS 2017. Lecture Notes in Computer Science(), vol 10181. Springer, Cham. https://doi.org/10.1007/978-3-319-55998-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-55998-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55997-1

  • Online ISBN: 978-3-319-55998-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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