Paper Info
Title
Evaluation of SPARQL query generation from natural language questions
Abstract
SPARQL queries have become the standard for querying linked open data knowledge bases, but SPARQL query construction can be challenging and time-consuming even for experts. SPARQL query generation from natural language questions is an attractive modality for interfacing with LOD. However, how to evaluate SPARQL query generation from natural language questions is a mostly open research question. This paper presents some issues that arise in SPARQL query generation from natural language, a test suite for evaluating performance with respect to these issues, and a case study in evaluating a system for SPARQL query generation from natural language questions.
Year
Venue
Field
2013
SWAIE@RANLP
Open research,Test suite,RDF query language,Query language,Information retrieval,Computer science,Linked data,SPARQL,Natural language,Named graph
DocType
Volume
ISSN
Conference
2013
0736-587X
Citations 
PageRank 
References 
2
0.37
5
Authors
2
Name
Order
Citations
PageRank
K. Bretonnel Cohen1123267.00
Jin-Dong Kim2170592.21