FoodNet : visualización de redes de alimentos

Abstract

This project its about many of the most advanced fields in computer science as data mining and data visualization. Also it's pretended to create a new leading application about a innovative idea, develop a big cooking data base with a visualization module. This feature will allow to visualize the complex network created from all the food ingredients in the data base in order to make easier the data extraction in the food network. All of this working in a web site and always using scalable technologies for a good performance in big amounts of data scenarios. This project is contextualized in the UB-Bullipèdia Unit. Graph analysis it's a growing field in computer sciences, every day more data is organized in network form, it's the case for example of the social networks. Also data mining and information analysis in general are growing fields because the data volumes are raising every day, it makes the data visualization really interesting for extract useful data and conclusions in a easy way. In addition, using data organized in a graph form is easy to extract interesting information as clusters, minimum paths, most central nodes and popular nodes... To sum up, the project will be segmented in different goals, data collection like data cleaning and web visualization. Every single one of this parts i's so important for achieve the completely working application. These goals imply to construct a smart web crawler in order to fill the data base downloading all recipes from any cooking websites, use scalable technologies with the purpose of don't lose performance with huge amounts of data, and make it all work in a web application for make easier to visualize the data. The website will be developed under the python framework, Djando.