is held in Vilnius, Lithuania from 6 to 10 September 2010. The conference is being organised by Statistics Lithuania. The organising committee may be contacted by email at email@example.com. Only for participants. Login and password needed.
As usual a lot of interesting presentations. Who will get the Bo Sundgren award for the best one?
In my previous few articles, I’ve explored the potential impact of sensors on the Internet. Soon there will be a trillion sensors connected to the Web, which will result in an explosion of online data. How will this mass of new and mostly real-time data be processed and analyzed? Will current data analytics software be able to cope? The short answer is, no it won’t. New types of analytics software will be required, together with much more powerful computers.
During my visit to HP Labs last month, I sat down with Meichun Hsu – director of the Intelligent Information Management Lab at Hewlett Packard – to discuss this issue. Hsu has been researching new real-time, sensor analytics solutions for the coming Internet of Things era.
Seminar on Emerging Trends in Data Communication and Dissemination
19 February 2010
USA: On May 21 2009, the Obama administration launched Data.gov , a web site that provides access to raw data from federal government agencies.
UK: In June 2009 Gordon Brown gave Tim Berners-Lee the job to help open up access to government data .
There is a huge interest of the media to unveil the story behind this new data access. From “Whitehall’s web revolution: the inside story” (The Prospect) to “Tim Berners-Lee unveils government data project” (BBC) all flavours are there.
On data.gov.uk some interesting applications that others have created and submitted can already be seen. They take data directly (API, linked data, csv downloads???) from the government data silos (so ONS and especially ONS Census geography) and use these data to offer public services.
As an example have a look at the house prices:
There is also a SPARQL endpoint, but no help page provided for it.
But it’s not all web services in a modern understanding, some public data are just given as simple downloads of xls or pdf (even tables!), so for instance births outside marriage. For most statistical offices this is a frequently offered service for some time already, in the UK it’s also part of a PR campaign.
See the listed ONS (Office National Statiscs) offer on data.gov.uk -> here
Written by Jolie O’Dell / December 14, 2009 6:20 PM / 5 Comments
Google has just announced it’s releasing an API for Fusion Tables. The API integrates with Google Maps, App Engine, Base Data and Visualizations APIs, as well, to allow for motion charts, timelines, graphs and maps with all the data available and running on Google’s infrastructure. The API allows users to upload data from any source, from text files to full databases, and see their data merged and compared in cool visualizations. Surprisingly, that’s not even the best part.
Perhaps best of all, for active, dynamic datasets, Fusion Tables is programmatically updated and accessed, so new information is accessible without requiring an admin login to the Fusion Tables site. As data is added or altered, the most up-to-date version will be available as long as the dataset is synced to Fusion Tables.
The Fusion Tables API also allows for queries and downloads. It’s built on a subset of SQL. By referencing data values in SQL-like query expressions, developers can find data and download it for use by their app. The application can then do any kind of processing on the data, like computing aggregates or feeding into a visualization gadget.
Visualizations of data can be embedded in blogs and other sites all around the web, and attribution remains constant for all the data that is uploaded to Fusion Tables.
Another cool aspect of Fusion Tables is its real-time collaboration features. As with Google Docs, collaborators can be invited via email. Multiple people can view and comment on the data, and these discussions show users’ commments and any changes to the datasets over time.
For an overview of how Fusion Tables works, check out this demo video that explains how data can be mashed up and graphed: