Current　Semantic　Web　reasoning　systems　do　not　scale　to　the　requirements　of　their　hottest　applications,　such　as　analyzing　data　from　millions　of　mobile　devices,　dealing　with　terabytes　of　scientific　data,　and　content　management　in　enterprises　with　thousands　of　knowledge　workers.　In　this　paper,　we　present　our　plan　of　building　the　Large　Knowledge　Collider,　a　platform　for　massive　distributed　incomplete　reasoning　that　will　remove　these　scalability　barriers.　This　is　achieved　by　(i)　enriching　the　current　logic-based　Semantic　Web　reasoning　methods,　(ii)　employing　cognitively　inspired　approaches　and　techniques,　and　(iii)　building　a　distributed　reasoning　platform　and　realizing　it　both　on　a　high-performance　computing　cluster　and　via　＇computing　at　home＇.　In　this　paper,　we　will　discuss　how　the　technologies　of　LarKC　would　move　beyond　the　state-of-the-art　of　Web-scale　reasoning.　©　2008　IEEE.