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, 28.11.2016, NED using PBOH + Large-Scale Learning of Relation-Extraction Rules. ( 2016-11-26T12:30:29+01:00 by Diego Moussallem)

2016-11-26T12:30:29+01:00 by Diego Moussallem

In the upcoming Colloquium, November the 28th at 3 PM, two papers will be presented: Probabilistic Bag-Of-Hyperlinks Model for Entity Linking Diego Moussallem will discuss the paper “Probabilistic Bag-Of-Hyperlinks Model for Entity Linking” by Octavian-Eugen Ganea et. al. Read more about "AKSW Colloquium, 28.11.2016, NED using PBOH + Large-Scale Learning of Relation-Extraction Rules."

Accepted paper in AAAI 2017 ( 2016-11-14T14:48:46+01:00 by Mohamed Sherif)

2016-11-14T14:48:46+01:00 by Mohamed Sherif

Hello Community! Read more about "Accepted paper in AAAI 2017"

AKSW Colloquium, 17.10.2016, Version Control for RDF Triple Stores + NEED4Tweet ( 2016-10-17T09:55:50+02:00 by Marvin Frommhold)

2016-10-17T09:55:50+02:00 by Marvin Frommhold

In the upcoming Colloquium, October the 17th at 3 PM, two papers will be presented: Version Control for RDF Triple Stores Marvin Frommhold will discuss the paper “Version Control for RDF Triple Stores” by Steve Cassidy and James Ballantine which forms the foundation … Continue reading → Read more about "AKSW Colloquium, 17.10.2016, Version Control for RDF Triple Stores + NEED4Tweet"

LIMES 1.0.0 Released ( 2016-10-14T11:38:31+02:00 by Kleanthi Georgala)

2016-10-14T11:38:31+02:00 by Kleanthi Georgala

Dear all, the LIMES Dev team is happy to announce LIMES 1.0.0. LIMES, the Link Discovery Framework for Metric Spaces, is a link discovery framework for the Web of Data. Read more about "LIMES 1.0.0 Released"

DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released ( 2016-10-11T21:41:00+02:00 by Dr. Jens Lehmann)

2016-10-11T21:41:00+02:00 by Dr. Jens Lehmann

Dear all, the Smart Data Analytics group at AKSW is happy to announce DL-Learner 1.3. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released"