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    Ontologies of Rock Art

    Proposal review

    Images, Relational Approaches, and Indigenous Knowledges

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    Contributor(s)
    Moro Abadia, Oscar (editor)
    Porr, Martin (editor)
    Language
    English
    Show full item record
    Abstract
    Ontologies of Rock Art is the first publication to explore a wide range of ontological approaches to rock art interpretation, constituting the basis for groundbreaking studies on Indigenous knowledges, relational metaphysics, and rock imageries. The book contributes to the growing body of research on the ontology of images by focusing on five main topics: ontology as a theoretical framework; the development of new concepts and methods for an ontological approach to rock art; the examination of the relationships between ontology, images, and Indigenous knowledges; the development of relational models for the analysis of rock images; and the impact of ontological approaches on different rock art traditions across the world. Generating new avenues of research in ontological theory, political ontology, and rock art research, this collection will be relevant to archaeologists, anthropologists, and philosophers. In the context of an increasing interest in Indigenous ontologies, the volume will also be of interest to scholars in Indigenous studies.
    URI
    https://library.oapen.org/handle/20.500.12657/49433
    Keywords
    abadia, approaches, art, images, indigenous, knowledges, martin,moro, ontologies, oscar, porr, relational, rock
    DOI
    10.4324/9780429321863
    ISBN
    9780367337803, 9780367701093, 9780429321863
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2021
    Imprint
    Routledge
    Classification
    Philosophy: metaphysics and ontology
    Archaeology
    Indigenous peoples
    Relating to Indigenous peoples
    Chapters in this book
    • Chapter 14 The faceless men
    Rights
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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