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News . Data Facts . Featured queries
News

22.03.11
Remake of the start page. From now on, you will find more information concerning the actual features of the application on this page. The Data facts of the week give short insides of some peculiarities we found by investigating our data ourselves. The Featured query of the month gives a start for sparql queries and shows what you can find out with our data with just a little effort.

26.04.11
Several blogs and newspages as the guardian report of a possible end of data.gov, the US portal for publishing open government data. The annual budget has been cut down from $37 million to $2 million. It is predicted that the site may "shut down in June or July of this year". This will be a big loss for govwild.org and the whole open data community.

16.05.11 - Feature Requests
Though we are still developing the actual version of GovWILD, we are always looking for improvements or further developments of the application. If you want to contribute your ideas to improve upcoming versions of the GovWILD project, go for it and mail us now.

29.06.11 - Data Lineage
We are currently working on a more detailed data lineage. This may allow you to see where all our information came from. Some sources allow us to provide a direct link to the source data, some only allow to be referenced in a more general way.

04.10.11 - Linked Open Data Cloud
We are happy to announce that the latest version of the LOD cloud (September 2011) includes the GovWILD data set (on the very left side).

17.01.12 - HPI TV
HPI TV releases a video about our Government Data Integration platform. The video is only available in German.

01.02.12 - WWW 2012
Our demo paper 'GovWILD: Integrating Open Government Data for Transparency' has been accepted for WWW 2012 demo track!
Data facts

#1
The EU Financial Transparency System provides Data about Fundings of the European Union. Amounts reach from hundreds of millions of Euros up to 1 Cent (0,01 â¬). Right! There is a funding which enriches Belgium by one single cent for "".

#2
The Earmarks of the United States of America are fundings from a state to a project, organisation or company. Since Barack Obama is president of the USA, the data quality of this source has inreased a lot, which makes it more easy for people like us to work with that data. However, in the newest data there are still hundreds of fundings, that have no 'sponsor' e.g. no public authoriy like a senator who signed the funding. So who will be responsible for that? The world will never know.

#3
Freebase data contains about 3 million people. GovWILD data uses only approximately 10% of that. Why do we? Freebase data can be fragmented, erroneous or messy. We only integrate data that meet our requirements. For persons, this means that we do not just include any person with only a name. Persons have to provide many more kinds of information to be 'useful'. Otherwise (s)he cannot be connected to other information and leads to duplicate or unsatisfactory results.

#4
Our team has aimed to include more data of the US Earmarks as provided by the OMB. Unfortunately, data of the year 2010 does not include the recipients of the fundings anymore. Hence, our aim of connecting sponsors and recipients by the fundings cannot be fulfilled for this data.

#5
The data we provide concerning the german parliament (Bundestag) was crawled from its official website. The german government hasn't put much effort in providing open data so far. The data we have is well structured, reliable and meant to be complete, because the website is held in good condition. If the german government would put more effort in open data issues than in presentational things, the work of many open data developers would be much easier.

#6
The United States congress data we use, provides information about former congress members. Furthermore it provides some biographical information to these members. It is one of just a few sources that provide implicit person relationship data. Implicit means here, that the relations are mentioned in a text of natural speech and have to be extracted from that. This can be very tricky, because often two persons in a relation only differ by a middle name, e.g. sons are named as their fathers.
Queries

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News . Data Facts . Featured queries