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dc.contributor.authorVega-Gorgojo, Guillermo
dc.contributor.authorGiese, Martin
dc.contributor.authorHeggestøyl, Simen
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorWaaler, Arild
dc.date.accessioned2016-03-14T12:45:29Z
dc.date.accessioned2016-04-07T09:15:20Z
dc.date.available2016-03-14T12:45:29Z
dc.date.available2016-04-07T09:15:20Z
dc.date.issued2016
dc.identifier.citationVega-Gorgojo, G., Giese, M., Heggestøyl, S., Soylu, A., & Waaler, A. (2016). PepeSearch: Semantic Data for the Masses. PLoS ONE. doi:http://dx.doi.org10.1371/journal.pone.0151573nb_NO
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11250/2384388
dc.descriptionThis is the journal's PDF originally published in PLoS ONE (DOI: 10.1371/journal.pone.0151573)nb_NO
dc.description.abstractWith 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.nb_NO
dc.language.isoengnb_NO
dc.publisherPLoS ONEnb_NO
dc.titlePepeSearch: Semantic Data for the Massesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2016-03-14T12:45:29Z
dc.source.journalPLoS ONEnb_NO
dc.identifier.doi10.1371/journal.pone.0151573
dc.identifier.cristin1344382


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