Prof. Zicari interviewed Dr. Alon Y. Halevy, head of the Structured Data Group at Google Research, on Google Fusion Tables and the importance of large scale data management tools.
The full transcript of the interview is available on the ODBMS.org Web site.
Do you want to make sense of messy data? Google Refine may prove to be the right tool! It allows for cleaning up messy data, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase.
It takes only 8 minutes to watch the following introductory video!
Do you want to learn more? The next video explains how to transform a wikipage like this into a table by isolating rows of text using a filter and transforming them in one shot using a command.
If you still have time to spent in learning about Google Refine, you may watch the following video. It explains how to augment a dataset with external data. In particular, it shows
Google announced the release of the Shopping API, a new set of Web Application Programming Interfaces that are meant to substitute the existing Google Base APIs. The new Shopping Application Programming Interfaces (APIs) have two main components: Content and Search. Those components are part of a unique CRUD infrustructure for product data management.
On one hand, the Content API enables retailers to upload their product data to Google, and to make incremental updates to frequently changing attributes like price and availability.
On the other hand, the Search API provides access to product data. After creating a new project in the APIs console, a developer can issue JSON queries as the following one:
https://www.googleapis.com/shopping/search/v1/public/products?key=key&country=US&q=digital+camera&alt=atom
This query will return a feed pf products sold in the United States which are all matching the keywords digital and camera. With a registered account, the new Google Shopping API feature a default limit: 2,500 queries/day
The API supports both structured and free text search. Results can be ordered according to relevance, novelty, or price. It is possible to increase diversity in the set of products matching a query by using the APIs crowding mechanism to restrict the number of products with an equivalent property.
The Google Base API will be fully deactivated on June 1, 2011. Some non-shopping data types (such as jobs, real estate, events, and activities) won’t be supported anymore.
After presenting our Liquid Query paper at WWW 2010, we took some time to analyze the overall scientific and technical program, spotting some papers that relates a lot to some of the research problems addressed by SeCo.
As an increasing number of organizations feels the need to open up their data for public usage, it also arises the need for tools able to unlock the intrinsic value of such data. Following a trend that already saw the creation of a public data search feature, Google Lab just launched the Google Public Data Explorer, an experimental visualization tool.
Below you can pre-view the new look of Google. Click to enlarge
Google's new look
Read more: http://www.taranfx.com/blog/googles-new-design-with-caffeine
Do you like to try it yourself? read out how http://www.taranfx.com/blog/try-new-google-search-caffeine
Google Base is a free service for submiting all kinds of content for Google to host and to make searchable online. It allows content providers to upload structured data to Google, surface it across Google search properties, and syndicate it via apis, gadgets and gadget ads.
Using the Google Base Data API, developers can programmatically access Google Base. Here’s some of the things you can do:
copy right note: The content was cut and paste from http://code.google.com/intl/de-DE/apis/base/ for the only purpose to increase the awarness of Google Base Data API.
Have a website or collection of sites you’d like to search over? With Custom Search Engine, you can harness the power of Google to create a search engine tailored to your needs.
[Source Google]
[Website http://www.google.com/coop/cse/]
Google Answers was an online knowledge market offered by Google that allowed users to post bounties for well researched answers to their queries. Asker-accepted answers cost $2 to $200. Google retained 25% of the researcher’s reward and a 50 cent fee per question. In addition to the Researcher’s fees, a client who was satisfied with the answer could also leave a tip of up to $100. In late November 2006, Google reported that it planned to permanently shut down the service, and it was fully closed to new activity by late December 2006, although its archives remain available.
[Source Wikipedia http://en.wikipedia.org/wiki/Google_answers]
[Website http://answers.google.com/answers/]
