Challenges inbuilding a DBMS Resource Advisor
作者： Eno Thereska , Dushyanth Narayanan , Anastassia Ailamaki
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摘要: The AVATAR Information Extraction System (IES) at the IBM Almaden Research Center enables highprecision, rule-based, information extraction from text-documents. Drawing our experience we propose use of probabilistic database techniques as formal underpinnings systems so to maintain high precision while increasing recall. This involves building a framework where rule-based annotators can be mapped queries in system. We examples IES describe challenges achieving this goal. Finally, show that deriving estimates such system presents significant challenge for systems.
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