ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box (without additional statistical training) including
The W3C's Semantic Web project has been described in many ways over the last few years: an extension of the current web in which information is given well-defined meaning, a place where machines can analyze all the data on the Web, even a Web in which machine reasoning will be ubiquitous and devastatingly powerful. The problem with descriptions this general, however, is that they don't answer the obvious question: What is the Semantic Web good for?
H. Son, B. Kim, T. Kim, D. Lee, and S. Hyun. Distributed, Ambient, and Pervasive Interactions: Proc.\ of the First International Conference (DAPI 2013), Las Vegas, NV, USA, 8028, Springer, Heidelberg, (2013)
F. Riguzzi, E. Bellodi, E. Lamma, and R. Zese. Web Reasoning and Rule Systems: 7th International Conference, RR 2013, Mannheim, Germany, volume 7994 of Lecture Notes in Computer Science, Springer, Heidelberg, (2013)