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    Linked Democracy

    Foundations, Tools, and Applications

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    Author(s)
    Poblet, Marta
    Casanovas, Pompeu
    Rodríguez-Doncel, Víctor
    Language
    English
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    Abstract
    This open access book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new challenges for the social organisation of knowledge, collective innovation, and the coordination of actions. Licensed linked data, licensed linguistic linked data, right expression languages, semantic web regulatory models, electronic institutions, artificial socio-cognitive systems are examples of regulatory and institutional design (regulations by design). The web has been massively populated with both data and services, and semantically structured data, the linked data cloud, facilitates and fosters human-machine interaction. Linked data aims to create ecosystems to make it possible to browse, discover, exploit and reuse data sets for applications. Rights Expression Languages semi-automatically regulate the use and reuse of content. ; Links information flow, social intelligence, rights management, and modelling with epistemic democracy Presents examples of regulatory and institutional design
    URI
    http://library.oapen.org/handle/20.500.12657/23067
    Keywords
    Law; Mass media; Law; Philosophy; Data structures (Computer science)
    DOI
    10.1007/978-3-030-13363-4
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2019
    Series
    SpringerBriefs in Law,
    Classification
    Philosophy
    Entertainment & media law
    Algorithms & data structures
    Pages
    130
    Rights
    https://creativecommons.org/licenses/by/4.0
    • 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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