Bunka is a search engine project based on recent research in cognitive sciences (importance of collective intelligence and visualization) and computational sciences (NLP, Machine Learning, networks). Bunka’s first innovation is to offer the user not a list of results, but a map of the informational territory of interest, which can then be explored in greater depth in the desired direction. Bunka’s second innovation is to organize the result maps using the collective intelligence produced by social networks. In Bunka’s maps and diagrams, two pieces of information are closer together if they are talking about the same thing or if they are present in the same online discussions, the same posts or the same newspaper articles, which naturally makes the information more relevant to the human mind. Bunka’s ambition is to allow a more autonomous, transparent, open to diversity and exploratory navigation.
Collaborators in the project
- Charles de Dampierre : Doctorant ENS-PSL
- Andrei Mogoutov : Ingénieur ENS-PSL