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?
B. Hellingrath, M. Witthaut, C. Böhle, and S. Brügger. Holonic and Multi-Agent Systems for Manufacturing: 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, Linz, Austria, volume 5696 of Lecture Notes in Artificial Intelligence, Springer, Berlin, (2009)
P. Suàrez, B. Jùnior, and M. de Barros. TAMODIA '04: Proceedings of the 3rd Annual Conference on Task Models and Diagrams, Prague, Czech Republic, page 113-120. (2004)