SPARQL2NL, one of the frameworks behind the BioASQ annotation tool, has been accepted for presentation at WWW 2013. The framework deals with the translation of SPARQL queries and RDF triples into natural language. By these means, it enables lay users to understand the content of triple stores as well as the queries that are sent to them. In addition to being integrated in BioASQ‘s annotation tool for bio-medical questions, the framework is also used by the question answering engine TBSL to verbalize the SPARQL queries it generates. Check out the demo here.
BioASQ technology accepted for presentation at WWW2013
Copyright © 2021, the BioASQ Challenge
Platinum sponsors of the BioASQ Challenge between 2012 and 2022
- Google was a proud sponsor of the BioASQ Challenge from 2018 to 2022.
- BioASQ was supported by the National Library of Medicine of the National Institutes of Health under award number R13LM012214. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
- The research leading to these results has received funding from the European Commission's Seventh Framework Programme (FP7/2007-2013, ICT-2011.4.4(d), Intelligent Information Management, Targeted Competition Framework) under grant agreement n° 318652.