- From: Mike Bergman <mike@mkbergman.com>
- Date: Wed, 11 Mar 2015 18:47:09 -0500
- To: semantic-web@w3.org
Hi Paul, From the perspective of a small city (100,000 population) our Citizen Dan site covers community topics pretty familiar to everyone and has working visualizations: http://citizen-dan.org/ You can also grab the datasets for your own local use at: http://citizen-dan.org/osf/export Thanks, Mike On 3/11/2015 6:13 PM, Paul Houle wrote: > 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 > <mailto:ontology2@gmail.com> > http://legalentityidentifier.info/lei/lookup
Received on Wednesday, 11 March 2015 23:47:42 UTC