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Link to original content: https://doi.org/10.1007/978-3-319-42111-7_45
GI2NK Geographic Information: Need to Know Towards a More Demand-Driven Geospatial Workforce Education/Training System | SpringerLink
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GI2NK Geographic Information: Need to Know Towards a More Demand-Driven Geospatial Workforce Education/Training System

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Computational Science and Its Applications -- ICCSA 2016 (ICCSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9788))

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Abstract

The paper presents GI-N2K (Geographic information: Need to Know), a European project aiming to improve the way in which future GI professionals are prepared for the labour market. Its main goal is twofold: updating the existing Body of Knowledge on the basis of the new technological developments and the European perspective, and realizing advanced tools to define curriculum, training opportunities and courses. This project focused on foundational research into the creation of a transformational, dynamic environment for pedagogy, knowledge construction, discourse, collaboration, and research in the domain of Geographic Information Science and Technology (GIS&T). After an initial integrated analysis of the demand for and supply of geospatial education and training, the revision of the BoK and the design of the Virtual Laboratory for the BoK (VirLaBok) are currently under investigation. In particular, the Consortium is now involved into the recognition of a proper revision strategy, in terms of content and its usability through an e-platform. The goal of this paper is to discuss preliminary results of this phase and illustrate problems due to a possible overlapping among different knowledge areas. Finally, a prototyping version of the ontology underlying the VirLaBok is presented.

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References

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Author information

Authors and Affiliations

  1. AMFM GIS Italia, Via Ugo Ojetti 427, 00137, Roma, Italy

    Sergio Farruggia

  2. University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy

    Monica Sebillo & Giuliana Vitiello

  3. Sapienza University of Rome, Piazza Borghese, 9, 00186, Roma, Italy

    Mauro Salvemini & Laura Berardi

  4. University of Basilicata, 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Beniamino Murgante

Authors
  1. Mauro Salvemini
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  2. Laura Berardi
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  3. Monica Sebillo
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  4. Giuliana Vitiello
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  5. Sergio Farruggia
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  6. Beniamino Murgante
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Corresponding author

Correspondence to Beniamino Murgante .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

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© 2016 Springer International Publishing Switzerland

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Salvemini, M., Berardi, L., Sebillo, M., Vitiello, G., Farruggia, S., Murgante, B. (2016). GI2NK Geographic Information: Need to Know Towards a More Demand-Driven Geospatial Workforce Education/Training System. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_45

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  • DOI: https://doi.org/10.1007/978-3-319-42111-7_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42110-0

  • Online ISBN: 978-3-319-42111-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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