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A Visual Analytics System for Supporting Rock Art Knowledge Discovery

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Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8584))

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Abstract

This paper presents a visual analytics system, named DARK, for supporting rock art archaeologists in exploring repositories of rock art scenes each consisting of hundreds of petroglyphs carved by ancient people on rocks. With their increasing complexity, analyzing these repositories of heterogeneous information has become a major task and challenge for rock art archaeologists. DARK combines visualization techniques with fuzzy-based analysis of rock art scenes to infer information crucial for the correct interpretation of the scenes. Moreover, the DARK views allow archaeologists to validate their hypothesis against the information stored in the repository.

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Author information

Authors and Affiliations

  1. Department of Management and Information Technology, University of Salerno, Via Giovanni Paolo II, 132, Fisciano(SA), Italy

    Vincenzo Deufemia, Valentina Indelli Pisano, Luca Paolino & Paola de Roberto

Authors
  1. Vincenzo Deufemia
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  2. Valentina Indelli Pisano
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  3. Luca Paolino
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  4. Paola de Roberto
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Deufemia, V., Indelli Pisano, V., Paolino, L., de Roberto, P. (2014). A Visual Analytics System for Supporting Rock Art Knowledge Discovery. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8584. Springer, Cham. https://doi.org/10.1007/978-3-319-09153-2_35

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  • DOI: https://doi.org/10.1007/978-3-319-09153-2_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09152-5

  • Online ISBN: 978-3-319-09153-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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