Dr Rob Stacey True Knowledge Ltd.

 Open Domain question answering  Semantic query language  Structured and Unstructured knowledge acquisition  >300 million facts  20k+ classes  Billions of inferred facts

 Who was prime minister of the UK when Bernie Ecclestone was a teenager?

 What is the time in Covent Garden now?

 Triple representation [london] [is an instance of] [city]  Temporal knowledge represented by “facts about facts” [fact: [“123”]] [applies for timeperiod] [ ]  Richness within entity representation “parametered” objects  [integer: [“8128”]]  [group: [london]; [san francisco]] * Actually 4 with negative relation

Achieving 96% accuracy with the freetext of Wikipedia

 Accept incoming knowledge  Contradict knowledge  Make knowledge superfluous  Uses user assessments and scoring to determine which facts are believed

 Run a negative version of the query [married] ~[applies to] [madonna]  If the query is unknown the fact is new to the knowledge base  If the result is no then fact is either superfluous or an endorsement  If the result is yes the there is a contradiction

 The assertion may simply be an existing fact – if so more weight is added to the truth of that fact  If the fact is different then it is superfluous to the system, though still valid is it removes the need for inference.

 One of two facts must be wrong  Assessment scoring decides which fact to believe  The loser is contradicted and not believed or used in query processing