SPARQL2NL: converting SPARQL queries to natural language

Over the last years, Semantic Web and Linked Data technologies have reached the backend of a considerable number of applications. While experts can easily access the data stored in these backends via the W3C standard SPARQL, most lay users do not understand this query language. Thus, they mostly have to rely on forms and query builders. We address this drawback by presenting a framework that allows converting virtually any SPARQL 1.0 query into natural language. Our framework implements a bottom-up approach that consists of normalizing the input query, converting it to natural language and reducing the query to make easily understandable. As our approach is generic, it not only allows transforming queries but also to represent the answers to queries in natural language. Therewith, our approach can be used to enable users accessing triple stores without even having to deal with SPARQL or RDF.

Demo Source Code

Survey (not active anymore): http://blog.aksw.org/2012/sparql2nl-survey/

Survey Winners (those who agreed that we can publish their names): Ben Companjen, Thimo Thoeye, Luke Opperman, Jeffrey Putnam, Tobbe Sjogren, Ghalem Ouadjed

AutoSPARQL TBSL Demo User Interface (using SPARQL2NL)

Involved CITEC members:

Dr. Christina Unger

Project Team

News

AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction ( 2017-01-20T14:02:35+01:00 by Ivan Ermilov)

2017-01-20T14:02:35+01:00 by Ivan Ermilov

Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01. Read more about "AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction"

PRESS RELEASE: “HOBBIT so far.” is now available ( 2017-01-09T14:22:29+01:00 by Sandra Bartsch)

2017-01-09T14:22:29+01:00 by Sandra Bartsch

The latest release informs about the conferences our team attended in 2016 as well as about the published blogposts. Read more about "PRESS RELEASE: “HOBBIT so far.” is now available"

4th Big Data Europe Plenary at Leipzig University ( 2016-12-16T14:33:41+01:00 by Sandra Bartsch)

2016-12-16T14:33:41+01:00 by Sandra Bartsch

The meeting, hosted by our partner InfAI e. V., took place on the 14th to the 15th of December at the University of Leipzig. Read more about "4th Big Data Europe Plenary at Leipzig University"

SANSA 0.1 (Semantic Analytics Stack) Released ( 2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann)

2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann

Dear all, The Smart Data Analytics group /AKSW are very happy to announce SANSA 0.1 – the initial release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.1 (Semantic Analytics Stack) Released"

AKSW wins award for Best Resources Paper at ISWC 2016 in Japan ( 2016-12-09T15:05:00+01:00 by Sandra Bartsch)

2016-12-09T15:05:00+01:00 by Sandra Bartsch

Our paper, “LODStats: The Data Web Census Dataset”, won the award for Best Resources Paper at the recent conference in Kobe/Japan, which was the premier international forum for Semantic Web and Linked Data Community. Read more about "AKSW wins award for Best Resources Paper at ISWC 2016 in Japan"