26 au 28 février 2014
Montréal, Canada

Statistical Linked Open Data and Analysis

Do you want to work with high profile big data from governments and other institutions? This talk will briefly cover Linked Data design principles and the deployment life cycle using datasets from the World Bank, European Central Bank, IMF, FAO, OECD, BFS, as a real-world case study: http://270a.info/ . Data analysis will be demonstrated using this data: http://stats.270a.info/ . This presentation is for developers, architects, and analysts.

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Sarven Capadisli

Sarven <http://csarven.ca/#i> believes in the global Semantic Web (one manifestation; Linked Data) vision. He is primarily interested in human-computer interaction, and how it changes us. Currently, Sarven is a Linked Data technologist at Agile Knowledge Engineering and Semantic Web group in University of Leipzig, and works on a European Commission Seventh Framework Programme project from Bern University of Applied Sciences.

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Montréal 2014 sponsored by