Towards a Knowledge Diversity Model

The Web is an unprecedented enabler for publishing, using and exchanging information at global scale. Virtually any topic is covered by an amazing diversity of opinions, viewpoints, mind sets and backgrounds. The research project RENDER works on methods and techniques to leverage diversity as a crucial source of innovation and creativity, and designs novel algorithms that exploits diversity for ranking, aggregating and presenting Web content. Essential in this respect is a knowledge model that makes accessible — cognitively to human users as well as computationally to the machine — the diversity in content. In this paper, we present a glossary of relevant terms that serves as baseline to the specification of the Knowledge Diversity Model.