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Published byFelipe Sherman Modified over 9 years ago
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Dr Rob Stacey True Knowledge Ltd.
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Open Domain question answering Semantic query language Structured and Unstructured knowledge acquisition >300 million facts 20k+ classes Billions of inferred facts
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Who was prime minister of the UK when Bernie Ecclestone was a teenager?
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What is the time in Covent Garden now?
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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
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Achieving 96% accuracy with the freetext of Wikipedia
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Accept incoming knowledge Contradict knowledge Make knowledge superfluous Uses user assessments and scoring to determine which facts are believed
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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
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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.
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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
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