Linking Australian Government Data for Sustainability Science - A Case Study View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Qing Liu , Quan Bai , Li Ding , Huong Pho , Yun Chen , Corné Kloppers , Deborah L. McGuinness , David Lemon , Paulo de Souza , Peter Fitch , Peter Fox

ABSTRACT

Sustainability science has been viewed as a new discipline which focuses on the complex interactions between nature and society. It demands intensive integration of data from different sources within different domains. Governments collect and generate huge amounts of scientific data and thus are in a unique position to support sustainability research. However, there are many challenges in discovering and re-using government data. In this chapter, first, we survey the sustainability related datasets published by the Australian government. We believe this is the critical first step to identifying the opportunities and issues and advancing the Australian Government 2.0 agenda. Second, we investigate the role of Linked Data in integrating a selection of Australian government datasets to generate sustainability science hypotheses and support the data analysis.We discuss the challenges based on our survey experience and present some recommendations for data publishing and analysis. More... »

PAGES

181-204

References to SciGraph publications

  • 2005. Government Ontology and Thesaurus Construction: A Taiwanese Experience in DIGITAL LIBRARIES: IMPLEMENTING STRATEGIES AND SHARING EXPERIENCES
  • 2006-10. Sustainability science: building a new discipline in SUSTAINABILITY SCIENCE
  • 2009-10. Advancing sustainability science: report on the International Conference on Sustainability Science (ICSS) 2009 in SUSTAINABILITY SCIENCE
  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • Book

    TITLE

    Linking Government Data

    ISBN

    978-1-4614-1766-8
    978-1-4614-1767-5

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-4614-1767-5_9

    DOI

    http://dx.doi.org/10.1007/978-1-4614-1767-5_9

    DIMENSIONS

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