A natural language interface for data warehouse question answering

Authors:
Nicolas Kuchmann-Beauger;Marie-Aude Aufaure
Affiliations:
SAP France, Levallois-Perret Cedex, France and Ecole Centrale Paris, MAS Laboratory, Chatenay-Malabry, France;Ecole Centrale Paris, MAS Laboratory, Chatenay-Malabry, France
Venue:
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Year:
2011

Citing 10
Cited 2

BASEBALL: an automatic question answerer

Readings in natural language processing
Developing a natural language interface to complex data

ACM Transactions on Database Systems (TODS)
NaLIX: an interactive natural language interface for querying XML

Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Modern natural language interfaces to databases: composing statistical parsing with semantic tractability

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Progress in natural language understanding: an application to lunar geology

AFIPS '73 Proceedings of the June 4-8, 1973, national computer conference and exposition
Keyword querying and ranking in databases

Proceedings of the VLDB Endowment
Semantic search using modular ontology learning and case-based reasoning

Proceedings of the 2010 EDBT/ICDT Workshops
Linking data to ontologies

Journal on data semantics X
A model-driven approach of ontological components for on- line semantic web information retrieval

Journal of Web Engineering
Inferring complex semantic mappings between relational tables and ontologies from simple correspondences

OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II

Generating OLAP queries from natural language specification

Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Interacting with data warehouse by using a natural language interface

NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.