Lend a little disk space to preserve the Web

Last updated on October 2nd, 2017 at 10:56 am

Anyone can contribute to preserve the information published on the Web. You just need to install a simple application on your computer.

The information published on the web is a resource of great historical value that must be preserved for future generations.

RARC is an application that enables anyone to contribute to preserve the web, by providing a little bit of disk space to store a backup copy of the archived information.

This way, if information is lost from the central repository due to, for instance, a natural disaster, it can be retrieved from the computers of the people that installed rARC.

RARC includes a screen saver that presents examples of archived pages. You can uninstall rARC or reduce the donated space whenever you want.

Comments and suggestions are most welcome.

The Portuguese Web Archive publishes a top of the most generous contributors and the approximate location of the backup copies.

Start contributing to rARC now!

Thank you for your support.

Paper presented at EPIA 2009

Last updated on October 2nd, 2017 at 10:51 am

An Updated Portrait of the Portuguese Web presented at EPIA 2009

The paper An Updated Portrait of the Portuguese Web, by João Miranda and Daniel Gomes, was presented at the 14th Portuguese Conference on Artificial Intelligence (EPIA 2009) in Aveiro.

This paper presents a characterization of the Portuguese Web derived from a crawl performed by the Portuguese Web Archive in March 2008, with 48 million documents in 2.5 TB of amount of data.

Paper will be presented at LA-Web on November 11

Last updated on October 2nd, 2017 at 10:50 am

The paper Trends in Web characteristics will be presented at LA-Web 2009, on November 11, 2009.

The paper Trends in Web Characteristics, by João Miranda and Daniel Gomes, will be presented at the 7th Latin American Web Congress (LA-Web), in Merida, Mexico.

This paper presents trends in the evolution of the Web derived from the analysis of 3 characterizations performed within an interval of 5 years. The Web portion used as a case study was the Portuguese Web. Several metrics regarding site and content characteristics were analyzed.