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PepeSearch: Semantic Data for the Masses

With the emergence of the Web of Data, there is a need of tools for searching and exploring the growing amount of semantic data. Unfortunately, such tools are scarce and typically require knowledge of SPARQL/RDF. We propose here PepeSearch, a portable tool for searching semantic datasets devised for...

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Detalles Bibliográficos
Autores principales: Vega-Gorgojo, Guillermo, Giese, Martin, Heggestøyl, Simen, Soylu, Ahmet, Waaler, Arild
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788387/
https://www.ncbi.nlm.nih.gov/pubmed/26967899
http://dx.doi.org/10.1371/journal.pone.0151573
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author Vega-Gorgojo, Guillermo
Giese, Martin
Heggestøyl, Simen
Soylu, Ahmet
Waaler, Arild
author_facet Vega-Gorgojo, Guillermo
Giese, Martin
Heggestøyl, Simen
Soylu, Ahmet
Waaler, Arild
author_sort Vega-Gorgojo, Guillermo
collection PubMed
description With the emergence of the Web of Data, there is a need of tools for searching and exploring the growing amount of semantic data. Unfortunately, such tools are scarce and typically require knowledge of SPARQL/RDF. We propose here PepeSearch, a portable tool for searching semantic datasets devised for mainstream users. PepeSearch offers a multi-class search form automatically constructed from a SPARQL endpoint. We have tested PepeSearch with 15 participants searching a Linked Open Data version of the Norwegian Register of Business Enterprises for non-trivial challenges. Retrieval performance was encouragingly high and usability ratings were also very positive, thus suggesting that PepeSearch is effective for searching semantic datasets by mainstream users. We also assessed its portability by configuring PepeSearch to query other SPARQL endpoints.
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spelling pubmed-47883872016-03-23 PepeSearch: Semantic Data for the Masses Vega-Gorgojo, Guillermo Giese, Martin Heggestøyl, Simen Soylu, Ahmet Waaler, Arild PLoS One Research Article With the emergence of the Web of Data, there is a need of tools for searching and exploring the growing amount of semantic data. Unfortunately, such tools are scarce and typically require knowledge of SPARQL/RDF. We propose here PepeSearch, a portable tool for searching semantic datasets devised for mainstream users. PepeSearch offers a multi-class search form automatically constructed from a SPARQL endpoint. We have tested PepeSearch with 15 participants searching a Linked Open Data version of the Norwegian Register of Business Enterprises for non-trivial challenges. Retrieval performance was encouragingly high and usability ratings were also very positive, thus suggesting that PepeSearch is effective for searching semantic datasets by mainstream users. We also assessed its portability by configuring PepeSearch to query other SPARQL endpoints. Public Library of Science 2016-03-11 /pmc/articles/PMC4788387/ /pubmed/26967899 http://dx.doi.org/10.1371/journal.pone.0151573 Text en © 2016 Vega-Gorgojo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vega-Gorgojo, Guillermo
Giese, Martin
Heggestøyl, Simen
Soylu, Ahmet
Waaler, Arild
PepeSearch: Semantic Data for the Masses
title PepeSearch: Semantic Data for the Masses
title_full PepeSearch: Semantic Data for the Masses
title_fullStr PepeSearch: Semantic Data for the Masses
title_full_unstemmed PepeSearch: Semantic Data for the Masses
title_short PepeSearch: Semantic Data for the Masses
title_sort pepesearch: semantic data for the masses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788387/
https://www.ncbi.nlm.nih.gov/pubmed/26967899
http://dx.doi.org/10.1371/journal.pone.0151573
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