About

ALVIS is a tool supporting a novel approach presenting Web Augmentation as a bridge for joining Web Scrapping by end users with the benefits of visualizing already existing raw data in a high level of abstraction to easily solve specific tasks on the Web, on-demand and without changing his context of use. It is not just about expanding the limits of technology but enhancing the user experience in any Web page --even third-party-- by the addition of a new feature. We are on the way to verify if the use of on-site visualizations on demand and in any place improves the productivity, usability and engagement of the user in general terms or when dealing with domain-specific tasks. 

Bosetti, Gabriela, et al. "An end-user pipeline for scraping and visualizing semi-structured data over the web." International Conference on Web Engineering. Cham: Springer International Publishing, 2019.