Knowledge representation and reasoning are traditional areas within artificial intelligence. In the modern society they are underlying building blocks in various kinds of information systems and networks. Knowledge representation and reasoning are also central themes in cognitive science and epistemology. Relevant questions include how we know what we know, how we can make useful inferences, and how we can use computers in models and applications of knowledge representation and reasoning. Traditional models have been based on predicate logic, semantic networks and other symbolic representations. One of the central goals of the AKRR'08 conference is to probe alternative representations and algorithms such as statistical latent variable models, vector space representations, statistical machine learning, artificial neural networks, and dynamical systems.