Issues in Translating from Natural Language to SQL in a Domain-Independent Natural Language Interface to Databases

2006 ◽  
pp. 922-931 ◽  
Author(s):  
B. Juan J. González ◽  
Rodolfo A. Pazos Rangel ◽  
I. Cristina Cruz C. ◽  
H. Héctor J. Fraire ◽  
L. de Santos Aguilar ◽  
...  
Keyword(s):  
Natural Language ◽  
Natural Language Interface ◽  
Domain Independent

scholarly journals A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries

2005 ◽  
pp. 833-842 ◽  
Author(s):  
Rodolfo A. Pazos Rangel ◽  
O. Joaquín Pérez ◽  
B. Juan Javier González ◽  
Alexander Gelbukh ◽  
Grigori Sidorov ◽  
...  
Keyword(s):  
Natural Language ◽  
Complex Queries ◽  
Natural Language Interface ◽  
Domain Independent

A semantic-based approach for querying linked data using natural language

2016 ◽  
Vol 42 (6) ◽  
pp. 851-862 ◽  
Author(s):  
Mario Andrés Paredes-Valverde ◽  
Rafael Valencia-García ◽  
Miguel Ángel Rodríguez-García ◽  
Ricardo Colomo-Palacios ◽  
Giner Alor-Hernández
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Knowledge Bases ◽  
Semantic Knowledge ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Natural Language Interface ◽  
High Quality Information ◽  
Domain Independent

The semantic Web aims to provide to Web information with a well-defined meaning and make it understandable not only by humans but also by computers, thus allowing the automation, integration and reuse of high-quality information across different applications. However, current information retrieval mechanisms for semantic knowledge bases are intended to be only used by expert users. In this work, we propose a natural language interface that allows non-expert users the access to this kind of information through formulating queries in natural language. The present approach uses a domain-independent ontology model to represent the question’s structure and context. Also, this model allows determination of the answer type expected by the user based on a proposed question classification. To prove the effectiveness of our approach, we have conducted an evaluation in the music domain using LinkedBrainz, an effort to provide the MusicBrainz information as structured data on the Web by means of Semantic Web technologies. Our proposal obtained encouraging results based on the F-measure metric, ranging from 0.74 to 0.82 for a corpus of questions generated by a group of real-world end users.

Sign in / Sign up

Export Citation Format

Share Document