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Published in:
2011 | OriginalPaper | Chapter
A Natural Language Interface for Data Warehouse Question Answering
Authors : Nicolas Kuchmann-Beauger, Marie-Aude Aufaure
Published in: Natural Language Processing and Information Systems
Publisher: Springer Berlin Heidelberg
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Business Intelligence (BI) aims at providing methods and tools that lead to quick decisions from trusted data. Such advanced tools require some technical knowledge on how to formulate the queries. We propose a natural language (NL) interface for a Data Warehouse based Question Answering system. This system allows users to query with questions expressed in natural language. The proposed system is fully automated, resulting low Total Cost of Ownership. We aim at demonstrating the importance of identifying already existing semantics and using Text Mining techniques on the Web to move toward the users’s need.