https://cms.semweb.pro/talk/2586 https://cms.semweb.pro/talk/2586 https://cms.semweb.pro/talk/2586 <p>With the increase of large inter-linked open data sets made available on the web, there is a growing interest in tools that allow to quickly and easily store, transform, query, mine and visualize that data.</p> <p>In this talk, we focus on our use of the [Protovis](<a class="reference" href="http://mbostock.github.com/protovis/),%5BD3%5D(http://mbostock.github.com/d3/">http://mbostock.github.com/protovis/),[D3](http://mbostock.github.com/d3/</a>) Javascript library to interactively visualize the content of a relational database. The underlying framework, <a class="reference" href="http://www.cubicweb.org/">CubicWeb</a>, is written in Python and relies on the [numpy](<a class="reference" href="http://numpy.scipy.org/">http://numpy.scipy.org/</a>) and [scipy](<a class="reference" href="http://www.scipy.org/">http://www.scipy.org/</a>) libraries for the intensive numerical computations.</p> <p>[CubicWeb](<a class="reference" href="http://www.cubicweb.org/">http://www.cubicweb.org/</a>) is a semantic web framework written in Python that has been succesfully used in large-scale projects, such as [Data.bnf](<a class="reference" href="https://data.bnf.fr">https://data.bnf.fr</a>) (French National Library’s opendata) or Collections des musées de Haute-Normandie (museums of Haute-Normandie). Using a browser connected to the server via HTTP, the user can enter queries in a high-level query language, similar to SPARQL but called [RQL](<a class="reference" href="http://docs.cubicweb.org/annexes/rql/language.html#rql">http://docs.cubicweb.org/annexes/rql/language.html#rql</a>), that operates over a relational database [PostgreSQL](<a class="reference" href="http://www.postgresql.org/">http://www.postgresql.org/</a>) in our case.</p> <p>Data will be loaded from [Geonames](<a class="reference" href="http://geonames.org">http://geonames.org</a>), [DBpedia](<a class="reference" href="http://dbpedia.org/">http://dbpedia.org/</a>), various RSS feeds and [<a class="reference" href="http://data.bnf.fr%5D(http://data.bnf.fr">http://data.bnf.fr](http://data.bnf.fr</a>).</p> <p>Using [Protovis](<a class="reference" href="http://mbostock.github.com/protovis/">http://mbostock.github.com/protovis/</a>), views will include maps, charts, hierarchies, networks, statistics, etc. A important feature is that any tuple (query, processor, view) has a corresponding url, making all results addressable, linkable and shareable.</p> <p>More technical details can be found in this blog post : "Data Fast-food": quick interactive exploratory processing and visualization of complex datasets with [CubicWeb](<a class="reference" href="http://www.cubicweb.org/blogentry/2154794">http://www.cubicweb.org/blogentry/2154794</a>).</p> 2024-05-03T14:00+00:00 Arthur Lutz