A KNOWLEDGE-BASED ANSWER ENGINE FOR OPEN-DOMAIN QUESTIONS

摘要: This paper describes a knowledge-based methodology of mining textual answers from large collections texts. We present an answer engine capable providing to any question posed in natural language, regardless the domain interest. The are produced by combining semantic data taxonomies with information abductively inferred high precision retrieved is due novel, efficient knowledge processing techniques.