Recipe analysis for knowledge discovery of gastronomic dishes

The Internet plays an important role in society as a whole. One of the services that arose from the Internet was collaborative systems, in which several users create the content of the systems by means of personal experiences. One of the many collaborative systems existing today is those of sharing gastronomic recipes. The area of information retrieval on the Web has increased interest in regard to recovering the information contained in this environment and studying it in order to identify relationships such as the ingredients used in the preparation of a dish, which can be identified through the use of textual data mining techniques. In this scope, the present work proposes a methodology of knowledge discovery in gastronomic recipes collected from various sources of data. For this, information such as the ingredients, quantities, units of measure, preparation directions and other characteristics associated with the recipes is used. With the results found in the experiments presented in this article, this work represents a first step for the development of a service that, besides aggregating recipes from various sources, explores the collective knowledge that can be discovered when analyzing hundreds of thousands of recipes available on the Internet.