A collaborative, ontological and information visualization model approach in a centralized rock art heritage platform

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         Author:
        Robert Haubt, Paul S.C. Taçon
         Article:
        A collaborative, ontological and information visualization model approach in a centralized rock art heritage platform
         Journal:
        Journal of Archaeological Science: Reports
         Volume:
        Volume 10
         Pages:
        837–846
         Article Date:
        2016
         Discipline:
        Rock Art, Ontology (information Sciences), Cultural Heritage Management
         Publisher:
        Elsevier
         DOI:
        https://doi.org/10.1016/j.jasrep.2016.10.013
         Open Access:
        no
         Website:
        http://www.sciencedirect.com/science/article/pii/S2352409X16306678
         APA:
        Robert Haubt, Paul S.C. Taçon ( 2016 ). A collaborative, ontological and information visualization model approach in a centralized rock art heritage platform. Journal of Archaeological Science: Reports. Volume 10. https://doi.org/10.1016/j.jasrep.2016.10.013. 837–846

Abstract

The Rock-Art Database is a rock art heritage project based in the Place, Evolution and Rock Art Heritage Unit (PERAHU), School of Humanities, Languages and Social Science, Griffith University, Queensland, Australia that began in 2012. The project aims to bring members of the global rock art community together in one centralized online platform to share and discuss rock art information in order to make rock art data more accessible and more visible. The platform offers a tool to a wide range of users to collect, manage and disseminate rock art data through specialized functionalities in digital formats that explore new ways to look at rock art through a collaborative, ontological and information visualization approach. The Rock-Art Database was first released in 2014 and can be accessed on the Web at http://www.rockartdatabase.com. This paper presents results of the deployed Rock-Art Database model and discusses its potential for future rock art data explorations.

The Global Rock Art Database using GIS, Interactive 2D & 3D Model Viewer and semantic data visualization integration of RelFinder