Natural Language Access to Enterprise Data

  • Ulli Waltinger Siemens AG
  • Dan Tecuci Siemens Corporation
  • Mihaela Olteanu Siemens AG
  • Vlad Mocanu Siemens AG
  • Sean Sullivan Siemens Energy Inc.

Abstract

This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data sources. Additional complications come from the nature of the data, which comes both as structured and unstructured. The proposed solution allows users to express questions in natural language, makes apparent the system's interpretation of the query, and allows easy query adjustment and reformulation. The application is in use by more than 1500 users from Siemens Energy. We evaluate our approach on a data set consisting of fleet data.

Author Biographies

Ulli Waltinger, Siemens AG
Corporate Technology, Munich
Dan Tecuci, Siemens Corporation
Corporate Technology, Princeton
Mihaela Olteanu, Siemens AG
Corporate Technology, Brasov
Vlad Mocanu, Siemens AG
Corporate Technology, Brasov
Sean Sullivan, Siemens Energy Inc.
Orlando
Published
2014-03-21
How to Cite
Waltinger, U., Tecuci, D., Olteanu, M., Mocanu, V., & Sullivan, S. (2014). Natural Language Access to Enterprise Data. AI Magazine, 35(1), 38. https://doi.org/10.1609/aimag.v35i1.2502
Section
Articles