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AQUA System by SAIC and Stanford Univ. aims to search, retrieve, and process knowledge from diverse sources to provide reliable answers. It disambiguates queries, generates links, and evaluates answer credibility to deliver focused responses to users.
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AQUAINT Questioning Answering (AQUA) SystemSAIC / Stanford Univ. (Knowledge System Laboratory) • OBJECTIVES • Search and retrieve relevant text from • Unstructured text • Structured databases • Metadata markups • Informal text (I.e. chat rooms) • Provide source reliability assessment • Translate text to knowledge base • representations • Process knowledge and provide • focused answers PLAN • Perform query analysis by traversing ontology to disambiguate and expand synonyms • Generate links from locally stored terms to the appropriate metadata in the • meta-knowledge KB • Identify an answer, assign a creditability score, resolve conflicts, and return answer to user Principal Investigator: Maureen Caudill, Barbara Starr / Richard Fikes ARDA Contracting Agent: CIA Topic Area: Components Data Dimension: Multiple Genre