Natural Language Access to Enterprise Data
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.
Title: Natural Language Access to Enterprise Data
Authors: Ulli Waltinger, Dan Tecuci, Mihaela Olteanu, Vlad Mocanu, Sean Sullivan
Pub/Conf: AI Magazine, Vol 35, No 1, 38-52, 2014
BibTeX:
@article{WaltingerTecuciEtAl14aimag,
author = {Waltinger, Ulli and Tecuci, Dan and Olteanu, Mihaela and Mocanu, Vlad and Sullivan, Sean},
doi = {10.1609/aimag.v35i1.2502},
file = {AAAI online:2014/WaltingerTecuciEtAl14aimag.pdf:PDF},
issn = {0738-4602},
journal = {AI Magazine},
number = 1,
pages = {38-52},
title = {Natural Language Access to Enterprise Data},
volume = 35,
year = 2014
}
