Shah, PurveshSchneider, DavidMatuszek, CynthiaKahlert, Robert C.Aldag, BjørnBaxter, DavidCabral, JohnWitbrock, MichaelCurtis, Jon2018-09-062018-09-062006-02-13Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjoern Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis, Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjoern Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis, 2006, https://aaai.org/Library/FLAIRS/2006/flairs06-026.phphttp://hdl.handle.net/11603/1126419th International FLAIRS Conference, Melbourne Beach, FL, May 2006.Populating the Cyc Knowledge Base (KB) has been a manual process until very recently. However, there is currently enough knowledge in Cyc for it to be feasible to attempt to acquire additional knowledge autonomously. This paper describes a system that can collect and validate formally represented, fully-integrated knowledge from the Web or any other electronically available text corpus, about various entities of interest (e.g. famous people, organizations, etc.). Experimental results and lessons learned from their analysis are presented.6 PAGESen-USThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.Cyc Knowledge Base (KB)computer understandable knowledgeInteractive Robotics and Language LabText