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FLEXILOG aims to improve semantic search engines by developing logics that can reason with imperfect knowledge. The project focuses on enabling these systems to draw plausible conclusions from distributed and inconsistent information found on the web.
Semantic search engines use structured knowledge to improve traditional web search, e.g. by directly answering questions from users.
Current approaches to semantic search rely on the unrealistic assumption that all true facts about a given domain are explicitly stated in their knowledge base or on the web.
To reach their full potential, semantic search engines need the ability to reason about known facts.
However, existing logics cannot adequately deal with the imperfect nature of knowledge from…
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