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    2013.5.2 noiz Equipo GNOSS

    Buscador de ontologías: European Commission

    Buscador de la Comisión Europa que entre otras cosas cuenta con un repositorio de ontologías de distintos dominios.



    European Data Forum

    tipo de documento Hiperesteka

    European Data Forum

    EDF is the yearly meeting place for industry, research, policy makers, and community initiatives to discuss the challenges and opportunities of Big Data in Europe. These aspects have both a technical - in terms of technology and infrastructure needed to master the volumes, heterogeneity, and dynamicity of Big Data - and a socio-economic component, speaking about emerging types of products and services and their commercialization, innovation and business models, but also policies and regulations.

    Our aim is to bring together all stakeholders involved in the data value chain to exchange ideas and develop actionable roadmaps addressing these challenges and opportunities to strengthen the European data economy and its positioning worldwide. The roadmaps will be offered as a contribution to the definition of research, development, and policy activities at the level of the European Union institutions and those of its member states.

    An equally important goal of the European Data Forum is to create and foster a truly European Big Data community. This emerging community will enable promising ideas to move from the stage of research questions all the way to successful deployment and the acquisition of capital; in the same time, its stakeholders will mutually reinforce commercial strategies that require a forward looking, dynamic, and well-integrated EU-wide venture capital and industry. This will in turn depend establishing in the European Data Forum a culture of evidence based reasoning and positive criticism where ideas from any part of the community acquire value by being examined and discussed in the context of reliable quantitative information (e.g. about industrial trends or availability of data resources) from other parts of the community. 


    European Open Data Portal

    This portal is about transparency, open government and innovation. The European Commission Data Portal provides access to open public data from the European Commission. It also provides access to data of other Union institutions, bodies, offices and agencies at their request. The published data can be downloaded by everyone interested to facilitate reuse, linking and the creation of innovative services. Moreover, this Data Portal promotes and builds literacy around Europe’s data. The data publishers, application developers and the general public can also use new functionalities enabled by the semantic technologies.



    How can Europe take the lead in the business of data?

    There are many reasons that explain why data is becoming increasingly important in our lives.

    --- Posted by Khalil Rouhana , DG INFSO, Director "Digital Content and Cognitive Systems"

    There are many reasons that explain why data is becoming increasingly important in our lives.

    Firstly, a large number of devices - from scientific instruments like genomic sequencers or telescopes to mobile phones to very tiny sensors -  generate much more data than humans could by themselves.

    Secondly, advances in digital storage technologies mean it is now cost effective to store large quantities of data for further analysis.

    Finally, advances in information retrieval to data mining and machine learning have made it possible to extract very valuable information from enormous amounts of data so that we are now able to analyse phenomena that were too big for us to perceive.

    Size is not the only thing that has changed. In the last few years we have discovered that certain types of data  -particularly non-private data collected by public administrations- are worth more when shared than when locked up. And that datasets are worth even more when they are linked to one another so that properties of various objects of interest -companies, products, and geographic features- can be aggregated from independently developed datasets.