The University of Southampton
University of Southampton Institutional Repository

SPARQL query verbalization for explaining semantic search engine queries

Ell, Basil, Harth, Andreas and Simperl, Elena (2014) SPARQL query verbalization for explaining semantic search engine queries In, Presutti, Valentina, d'Amato, Claudia, Gandon, Fabien, d'Aquin, Mathieu, Staab, Steffen and Tordai, Anna (eds.) The Semantic Web: Trends and Challenges. Cham, CH, Springer International Publishing pp. 426-441. (doi:10.1007/978-3-319-07443-6_29).

Record type: Book Section

Abstract

In this paper we introduce Spartiqulation, a system that translates SPARQL queries into English text. Our aim is to allow casual end users of semantic applications with limited to no expertise in the SPARQL query language to interact with these applications in a more intuitive way. The verbalization approach exploits domain-independent template-based natural language generation techniques, as well as linguistic cues in labels and URIs.

PDF chp%3A10.1007%2F978-3-642-41154-0_1-Nguyen.pdf - Accepted Manuscript
Restricted to Repository staff only
Download (302kB)

More information

Published date: 2014
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 405580
URI: http://eprints.soton.ac.uk/id/eprint/405580
PURE UUID: 072d6399-3374-477f-9d2e-600109faf4fd
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 08 Feb 2017 10:08
Last modified: 17 Jul 2017 17:21

Export record

Altmetrics

Contributors

Author: Basil Ell
Author: Andreas Harth
Author: Elena Simperl ORCID iD
Editor: Valentina Presutti
Editor: Claudia d'Amato
Editor: Fabien Gandon
Editor: Mathieu d'Aquin
Editor: Steffen Staab
Editor: Anna Tordai

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×