This book investigates the foundational principles and emerging techniques in the field of the Reasoning Web, focusing on how to imbue the Semantic Web with computational reasoning capabilities. It compiles research presented at the third Summer School on Reasoning Web, exploring the integration of logic-based reasoning with the decentralized architecture of the Semantic Web. The work aims to bridge the gap between knowledge representation and web-scale data, enabling more intelligent and automated information processing.

This collection of research papers from the 2007 Summer School on Reasoning Web offers a snapshot of the field's state at that time, focusing on the theoretical underpinnings and practical challenges of enabling computational reasoning on the Semantic Web. The contributions likely represent a specialized academic audience interested in formal methods, knowledge representation, and the evolution of web technologies. The content would appeal to researchers and advanced students in computer science, particularly those working on artificial intelligence and data integration.