The cloud of Linked Open Data is steadily growing, yet it remains largely inaccessible to the general public, due to the technical barrier posed by the requirement to know a formal query language such as SPARQL. In this article, we present a new approach for visual query formulation toward arbitrary SPARQL endpoints, and we show a working prototype developed to improve the accessibility to Linked Open Data sources for non-computer experts. We show how the prototype can be employed to simplify access to governmental Linked Open Data with a case study from the Norwegian Entity Registry.
%0 Conference Paper
%1 heggestoyl2014visual
%A Heggestøyl, Simen
%A Vega-Gorgojo, Guillermo
%A Giese, Martin
%D 2014
%E Nätt, Tom Heine
%K myown optique-project
%T Visual Query Formulation for Linked Open Data: The Norwegian Entity Registry Case
%X The cloud of Linked Open Data is steadily growing, yet it remains largely inaccessible to the general public, due to the technical barrier posed by the requirement to know a formal query language such as SPARQL. In this article, we present a new approach for visual query formulation toward arbitrary SPARQL endpoints, and we show a working prototype developed to improve the accessibility to Linked Open Data sources for non-computer experts. We show how the prototype can be employed to simplify access to governmental Linked Open Data with a case study from the Norwegian Entity Registry.
@inproceedings{heggestoyl2014visual,
abstract = {The cloud of Linked Open Data is steadily growing, yet it remains largely inaccessible to the general public, due to the technical barrier posed by the requirement to know a formal query language such as SPARQL. In this article, we present a new approach for visual query formulation toward arbitrary SPARQL endpoints, and we show a working prototype developed to improve the accessibility to Linked Open Data sources for non-computer experts. We show how the prototype can be employed to simplify access to governmental Linked Open Data with a case study from the Norwegian Entity Registry.},
added-at = {2014-10-14T12:29:47.000+0200},
audience = {academic},
author = {Heggestøyl, Simen and Vega-Gorgojo, Guillermo and Giese, Martin},
biburl = {https://www.bibsonomy.org/bibtex/21d731974e8387dfb6a935fb8b6269a95/martingi},
editor = {Nätt, Tom Heine},
interhash = {daf6a4b8c0a462b4e5163b922dc1a912},
intrahash = {1d731974e8387dfb6a935fb8b6269a95},
keywords = {myown optique-project},
openaccess = {Yes},
partneroptique = {UIO},
timestamp = {2016-12-01T14:05:28.000+0100},
title = {Visual Query Formulation for Linked Open Data: The Norwegian Entity Registry Case},
wpoptique = {WP3},
year = 2014,
yearoptique = {Y2}
}