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One of the areas I've been focusing on lately is the so called "Semantic Web", in particular Open Data as a way to make governments more transparent and provide data to citizens. SPARQL uses a syntax very similar to Turtle, and uses SQL-like keywords like SELECT and WHERE.  Using the bibliographic example, one could query for all publications written by Simone Chiaretta. Basically the query is done by putting a variable in the element you want as result, and by specifying the other two elements of the tuple: a kind of query by example. With these basic knowledge, we can now look at how to access the data released by the Council of European Union about votes on legislative acts. Data released include the information about an act (title, act number, various document numbers, policy area, etc…), the session in which it’s been voted (its date, the Council configuration, the number of the Council session) and how each country voted. Instead of being modeled as hiearchical graph, in order to make it easier to analyze it and get aggregated data, we’ve modelled it as a Data Cube: an “observation” includes all the information in a flat and denormalized structure. Notice the clause DISTINCT: this is important because, given the “data cube” approach, every act it replicated 28 times (there are usually 28 countries voting), so we need to take it only once.
For example, you want to know how many time countries voted against the adoption of an act? To keep the query more concise and readable, I used another SPARQL keywork, PREFIX, to avoid writing the whole URI all the times. And you see the country of the example voted 554 in favor of the adoption, 45 against, 42 abstained from voting and 39 didn’t participate in the voting (this happens because countries outside of the Eurozone do not vote in Euro-related matters). Council’s Github repository contains more information on the model itself as well as a list of other SPARQL queries. Now you know how to query the dataset via the interactive query tool, you probably want to do something with the data. There are a few JavaScript libraries that make it easier to interact with SPARQL endpoints and also can navigate graphs, like RDFSTORE-JS or rdflib.js. But if you want just to query a SPARQL endpoint you can just make a standard http GET request, passing the SPARQL query as parameter.

Basically this JSON format has an head which tells which variables have been used, followed by the results, which contain a small set of metadata about the query (was it a distinct, was it sorted), followed by all the results, inside a bindings array. Then, with this in place and using another service for concatenating the SPARQL string, I can send the query to the server and get back the results and display them in the page. So, come to the hackathon and even if you cannot, play with the data and make some nice analysis of them. On a slightly related topic, if you want to see how agreements are reached and how the actual voting happens, you can play around with the Council Voting Calculator, availabe on the website, but also as iOS app and Android app (in both versions, phone and tablet).
Word as end-use is a very strange topic for me to blog about, but I just discovered a tip that would have saved me countless hours of time.
The moment has finally come: tomorrow at midday, Central European Time, it will be possible to start registering for the 2nd Web European Conference.
First squash all commits into one, making sure no typos or "missed file" kind of commits are sent in the pull request. As last year, one of the main tenet of the conference is reminding us developers that also content editors deserve love, and with Umbraco 7 it's very easy to craft data editors tailored to custom editing expectations and flows.
The day ended with an amazing talk by Theo Paraskevopoulos with tips on how to sell Umbraco as platform when doing projects. The evening ended with a protest march through the streets of Copenhagen, which unfortunately I had to miss due to a broken toe, caused by an injury in a recent triathlon race. The first day was not super-tech, but more soft-skill and UX oriented, but very useful anyway, especially for me since my reason to be here is to get a feeling of where Umbraco is going in the future to see if it can be used as CMS platform at my workplace. I’m happy to announce that my latest book, OWIN Succinctly, has just been released by Syncfusion, within their “succinctly” series of eBooks.
The other 2 elements of the tuple can also be variables, in case you want to “join” different tuples.
So, a “line” includes how a country voted for a given act, followed by all the information about act and session, which are then replicated for how many countries voted in the act. You can also execute the query directly in the interactive query tool online, and you will get the results as HTML. Actually, given the modelling done, they are conceptually more complex, but easier to implement.
Here is the countries that voted against the adoption of an act, sorted by who voted no the most (using the ORDER BY DESC keyword).

The following sample is part of the open source demo we published on Council’s Github repository. For those who do not know what it is, it's the yearly Umbraco developer conference, this year celebrating its 10th anniversary. Unfortunately the slides are not published yet, but will update the post as soon as they are. Another possible solution to represent the topic, could have been to refer to another URI coming from a managed taxonomy. This approach make it less space efficient (all acts and council information are replicated every time) but easier and faster to query as there is no need for “linking” different entities with “joins” in order to compute aggregated results. Please leave a comment, ask a question and consider subscribing to the latest posts via RSS. In other words, it means that when the Council votes to adopt a legislative act (ie a regulation or a directive), the votes of each country are stored and made publicly visible.
This means that you can see how your country voted when a given law was adopted, or you could get more aggregate data on trends and voting patterns. For example, if I want a bullet list, I cannot just click the bullet list button button in the toolbar, but I’ve to apply a “bulletlist” style. The goal of the hackaton is to make use of Council’s opendata sets, linking them with all the other datasets available from other EU institutions, and build something useful for citizens. This way the code is executed before body is rendered, for every view, and you don’t have to add it to each view manually.
From RC2 it also provides the execution runtime and all related tools (packages, build, etc), everything that was before in DNX. In a few seconds 20 pages of Word documents are correctly updated by removing the ticks around inline code and applying the correct style.

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