Literature DB >> 33100503

Evaluation of SPARQL query generation from natural language questions.

K Bretonnel Cohen1, Jin-Dong Kim2.   

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.

Entities:  

Year:  2013        PMID: 33100503      PMCID: PMC7581285     

Source DB:  PubMed          Journal:  Proc Conf Assoc Comput Linguist Meet        ISSN: 0736-587X


  3 in total

1.  External Ophthalmoplegia, Pigmentary Degeneration of the Retina, and Cardiomyopathy: A Newly Recognized Syndrome.

Authors:  T P Kearns
Journal:  Trans Am Ophthalmol Soc       Date:  1965

2.  SPARQL assist language-neutral query composer.

Authors:  Luke McCarthy; Ben Vandervalk; Mark Wilkinson
Journal:  BMC Bioinformatics       Date:  2012-01-25       Impact factor: 3.169

3.  A new face and new challenges for Online Mendelian Inheritance in Man (OMIM®).

Authors:  Joanna Amberger; Carol Bocchini; Ada Hamosh
Journal:  Hum Mutat       Date:  2011-04-05       Impact factor: 4.878

  3 in total

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