ulises-jeremias/alvis

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.

Infovis

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About the project

As it's right now this project contains:
A class diagram of the extractors (readable from draw.io).
A set of scripts, one for each class, palced at the /src folder.

As the proyect it's brand new, the scripts are prepared to run only on the test pages provided, although it's intended to improve the functionality and range of the scripts in the future.

The pages and tables we're actually using as guide are the ones listed here.

Building the extension

Clone the repo:

$ git clone https://[email protected]/gabybosetti/infovis.git

Download the dependencies:

$ cd infovis
$ yarn

Installing the extension in Chrome

After performing the steps described above,

1. Open "chrome://extensions/" in Chrome
2. Click "Load not packaged extension"
3. Select any file in your add-on's root directory, infovis/src/

or run the following scripts,

$ yarn start:chrome # yarn start:chromium, for chromium

Using the tool

Visit https://en.wikipedia.org/wiki/The_Rolling_Stones_discography

Click on the extension icon (yellow with a black bar). The tables will be highlighted and a button will be added on their bottom.

Go down in the page to the "charted songs from 2016" section. Click on the "Export button". You can check the logged results in the Javascript console.