Climate change analysis based onInformation retrieval techniques
There is a huge volume of information on Internet about the climate change impacts. This information is constantly generated from different information sources such as institutions (WHO, FAO), newspapers, ONGs, etc. and it is very useful in order to have an updated knowledge about the subject, but it cannot be profited because of their large volume and dispersion in the sources. This project intends to solve this problem by using Semantic Web methods and technologies as ontologies, meta-search engines and intelligent agents in order to locate, analyze, filter and categorize information on climate change impacts from Internet. Therefore, the purpose of this project is to provide organized and meaningful information about the subject that has appeared on the Web, which can become an important strategic advantage for making short, medium and long term on the subjecty.