- From: Paul Houle <ontology2@gmail.com>
- Date: Wed, 11 Mar 2015 19:13:43 -0400
- To: "semantic-web@w3.org" <semantic-web@w3.org>, Linked Data community <public-lod@w3.org>
- Message-ID: <CAE__kdTCp94jtDDUuZhsKM1WdhYGrBCTe6bWMKhuCqZUosmxyg@mail.gmail.com>
Hello all, I am looking for some RDF data sets to use in a short presentation on RDF and SPARQL. I want to do a short demo, and since RDF and SPARQL will be new to this audience, I was hoping for something where the predicates would be easy to understand. I was hoping that the LOGD data from RPI/TWC would be suitable, but once I found the old web site (the new one is down) and manually fixed the broken download link I found the predicates were like <http://data-gov.tw.rpi.edu/vocab/p/1525/v96> and the only documentation I could find for them (maybe I wasn't looking in the right place) was that this predicate has an rdf:label of "V96".) Note that an alpha+numeric code is good enough for Wikidata and it is certainly concise, but I don't want :v96 to be the first things that these people see. Something I like about this particular data set is that it is about 1 million triples which is big enough to be interesting but also small enough that I can load it in a few seconds, so that performance issues are not a distraction. The vocabulary in DBpedia is closer to what I want (and if I write the queries most of the distracting things about vocab are a non-issue) but then data quality issues are the distraction. So what I am looking for is something around 1 m triples in size (in terms of order-of-magnitude) and where there are no distractions due to obtuse vocabulary or data quality issues. It would be exceptionally cool if there were two data sets that fit the bill and I could load them into the triple store together to demonstrate "mashability" Any suggestions? -- Paul Houle (607) 539 6254 paul.houle on Skype ontology2@gmail.com http://legalentityidentifier.info/lei/lookup
Received on Wednesday, 11 March 2015 23:22:15 UTC