Web Fact Seeking For Business Intelligence: a Meta Engine Approach
نویسنده
چکیده
Inspired by our exploration of the applicability of automated question answering (QA) technology to the task of business intelligence and general design science principle, we advocate a meta approach to the QA (fact seeking) applications since it does not rely on a single system and may provide the necessary accuracy and responsiveness. We present our prototype of a fact seeking meta engine, the first known meta QA prototype, and report its empirical evaluation. Our results support the added value of the meta approach: the performance of the combined system surpasses the underlying performances of its components. The evaluation also indicates that, on average, our meta system answers every second answer perfectly, which we believe is very encouraging for its practical applications. We also discuss the challenges that meta approach faces, how they can be addressed and what are the design implications.
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