Name
Abstract | ||
|---|---|---|
This article describes USI Answers - a natural language question-answering system for enterprise data. We report on the progress toward 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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1609/aimag.v35i1.2502 | AI MAGAZINE |
Field | DocType | Volume |
World Wide Web,Data control language,Computer science,Enterprise information system,Natural language,Artificial intelligence,Enterprise information integration,Syntax,Enterprise data management,Semantics,Siemens | Journal | 35 |
Issue | ISSN | Citations |
1 | 0738-4602 | 1 |
PageRank | References | Authors |
0.39 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ulli Waltinger | 1 | 64 | 10.76 |
| dan g tecuci | 2 | 131 | 12.84 |
| Mihaela Olteanu | 3 | 5 | 0.86 |
| Vlad Mocanu | 4 | 5 | 0.86 |
| Sean Sullivan | 5 | 6 | 1.26 |