Recursos > data on the web

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    Publicado el 7.3.2016 por Equipo GNOSS

    Data on the Web Best Practices Working Group. W3C.

    La misión del grupo de trabajo Data on the Web Best Practices, que forma parte de Data Activity, es:

    1. Desarrollar el ecosistema de datos abiertos, facilitando la mejor comunicación posible entre desarrolladores y publicadores.
    2. Proporcionar guías a los publicadores, para mejorar la consistencia en la gestión de los datos, y promoviendo su reutilización.
    3. Fomentar la confianza en los datos entre los desarrolladores, sea cual sea la tecnología que usen, aumentando el potencial para innovaciones genuinas.

    Las guías y recomendaciones tendrán 2 formas: un conjunto de buenas prácticas de aplicación en múltiples tecnologías, y vocabularios que aún no existen, pero que son necesarios para soportar el ecosistema de datos en la Web. En este sentido, están disponibles los siguientes borradores:

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    Publicado el 15.6.2013 por Ricardo Alonso Maturana

    There’s Money in Linked Data

    Summary:

    To develop technologies, we need critical questions, and of course the most critical ones always come from the inside of a community or movement. But time has come to spread the good news for the ‘outside’.I believe that so far ‘linked data’ has always been perceived by people from outside the linked data core-community only as a new way to organize data on the web, thus technologies are still not mature for enterprises.Yes, databases which rely on linked data standards have become mature and enough performing for many query types so that they outperform even ‘traditional’ relational databases

    Why?

    • Yes, also issues which are critical for enterprise usage like privacy and security have been solved by most linked data technology vendors
    • Yes, there is a critical mass of available LOD sources (for example UK Ordnance Survey) and also of high-quality thesauri and ontologies (for example Wolter Kluwer’s working law thesaurus) to be reused in corporate settings
    • Yes, there is a volume of developers and consultants on the labor market (in the U.S. as well as in the E.U.) which is big enough to being able to execute large linked data projects
    • Yes, there are tons of business cases that can benefit from linked data. Linked data and semantic web technologies should be considered as core technologies for any information architecture, at least in larger corporations
    • Yes, SPARQL Query Language is not only a second SQL but comes with some brilliant features like transitive queries which help to save a lot of time when developing applications like business intelligence reporting and analysis
    • Yes, Linked Data has the potential to become the basis for a large variety of tools which help decision-makers (not only in enterprises but also in politics) to become true ‘digerati’ instead of being degraded to masters of the ‘bullshit bingo’.

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