Preface

When we are confronted with unexpected situations, we deal of background knowledge and special-purpose reasoners to with them by falling back on our general knowledge or making support general inference. Recent advances in text mining, analogies to other things we know. When software applications crowdsourcing, and professional knowledge engineering efforts fail, on the other hand, they often do so in brittle have finally led to commonsense knowledge bases of and unfriendly ways. At the same time, new application colleagues grappling with representation and reasoning, to domains are giving fresh insights into desiderata for common Doug Lenat, Push Singh, and Lenhart Schubert conducting sense reasoners and guidance for knowledge collection large scale engineering projects to construct collections efforts.