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10.1371/journal.pone.0151573 http://scihub22266oqcxt.onion/10.1371/journal.pone.0151573 C4788387!4788387 !26967899     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26967899 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26967899 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       PLoS+One 2016 ; 11 (3 ): e0151573 Nephropedia Template TP {{tp|p=26967899 |t=2016. PepeSearch: Semantic Data for the Masses |pdf=|usr=}}{{26967899 }} gab.com Text PepeSearch: Semantic Data for the Masses JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26967899 #FOAvip 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. Twit Text FOAVip PepeSearch: Semantic Data for the Masses ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26967899 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26967899 #FOAvip English Wikipedia <ref>{{Cite pmid|26967899 }}</ref> PepeSearch: Semantic Data for the Masses #MMPMID26967899 Vega-Gorgojo G ; Giese M ; Heggestøyl S ; Soylu A ; Waaler A PLoS One 2016[]; 11 (3 ): e0151573 PMID26967899 show ga 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. |*Internet [MESH] |*Semantics [MESH] |Data Mining/*methods [MESH] |Databases, Factual [MESH]PepeSearch: Semantic Data for the Masses (epmc).pdf DeepDyve Pubget Overpricing