- From: Ratnesh Sahay <ratnesh.sahay@insight-centre.org>
- Date: Thu, 26 Apr 2018 16:20:35 +0100
- To: "'Heiko Paulheim'" <heiko@informatik.uni-mannheim.de>, <semantic-web@w3.org>
- Message-ID: <019701d3dd72$20463a80$60d2af80$@insight-centre.org>
Same here, four years back, we did similar experiments for biomedical/healthcare scenarios [1] and results were disappointing. [1] https://aran.library.nuigalway.ie/bitstream/handle/10379/4495/mmehdi_ideas14 _0.pdf?sequence=1 Regards, Ratnesh From: Heiko Paulheim [mailto:heiko@informatik.uni-mannheim.de] Sent: 26 April 2018 07:59 To: semantic-web@w3.org Subject: Re: any standard wys to detect void dataset descriptions? Hi Axel, five years ago, we have made a related experiment of trying to find SPARQL endpoint for a given resource, also via void files [1]. The results were quite disappointing back then; and it seems like not much has changed in that respect. Unfortunately, we did not distinguish between (a) finding a void file and (b) finding a void file pointing to a SPARQL endpoint in our analysis, but maybe you find it useful anyways. btw, for DBpedia, it's dbpedia.org/void/Dataset, but that is probably non-standard. I figured that out by typing "dpbedia void" into Google ;-) Best, Heiko [1] http://www.heikopaulheim.com/docs/iswc2013_poster.pdf Am 25.04.2018 um 20:26 schrieb Axel Polleres: Hi friends, quick question: Is there any standard way to detect/find void descriptions of datasets *besides* the one mentioned in https://www.w3.org/TR/void/#discovery (Section 7) e.g. for dbpedia, neither of the methods from Section 7 seem to be implemented, or am I mistaken, i.e. 1) no void:inDataset links in dbpedia resources e.g. in http://dbpedia.org/resource/Vienna and 2) none at .well-known/void 3) nor is there a void.ttl in the root directory (https://www.w3.org/TR/void/#void-file), i.e. http://dbpedia.org/void.ttl ... are there any other "common" recipes? feedback welcome, Axel -- Dr. Axel Polleres url: http://www.polleres.net/ twitter: @AxelPolleres -- Prof. Dr. Heiko Paulheim Data and Web Science Group University of Mannheim Phone: +49 621 181 2652 B6, 26, Room B1.16 D-68159 Mannheim Mail: heiko@informatik.uni-mannheim.de Web: www.heikopaulheim.com
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Received on Thursday, 26 April 2018 15:21:05 UTC