Awesome. Thanks On Jan 15, 2015 10:25 AM, "Pierre-Yves Vandenbussche" < py.vandenbuss...@gmail.com> wrote:
> Hi again Wes, > > this is now done. > Thanks for the feedback, > > > Pierre-Yves Vandenbussche. > > On Thu, Jan 15, 2015 at 3:48 PM, Wes Turner <wes.tur...@gmail.com> wrote: > >> Upon further review, it appears that previous links of the form: >> >> http://lov.okfn.org/dataset/lov/details/vocabulary_rdf.html >> >> Are not redirecting to the newer (more convenient) URLs. >> >> http://lov.okfn.org/dataset/lov/vocabs/rdf >> >> There's likely a way to add a NodeJS HTTP 301 regex route? >> >> On Thu, Jan 15, 2015 at 5:20 AM, Pierre-Yves Vandenbussche < >> py.vandenbuss...@gmail.com> wrote: >> >>> Hi all, >>> >>> >>> I have the pleasure to announce the release of a new version of the >>> Linked Open Vocabularies (LOV) application. A massive re-engineering of the >>> application has been made, now using the power of mongoDB/elasticsearch to >>> offer you a fast access to the data, and NodeJS for a clean and fast UI. >>> >>> LOV will soon celebrate its 4th birthday and deserved to be refreshed! >>> The main improvements are: >>> >>> >>> - The use of tags for vocabularies instead of hierarchical categories >>> (e.g. for “Time” http://lov.okfn.org/dataset/lov/vocabs?tag=Time). >>> >>> - A fast full text search feature over 469 vocabularies as of today ( >>> http://lov.okfn.org/dataset/lov/vocabs), 46.000+ terms ( >>> http://lov.okfn.org/dataset/lov/terms), 462 agents (creators, >>> contributors, publishers) (http://lov.okfn.org/dataset/lov/agents). >>> >>> - A wide range of APIs (http://lov.okfn.org/dataset/lov/api) to access >>> all LOV data. NOTE: the search v1 service API has now been shut down. >>> >>> - A fast and unique SPARQL Endpoint containing LOV records and the >>> latest version of each vocabulary ( >>> http://lov.okfn.org/dataset/lov/sparql) >>> >>> >>> I would like to thank Bernard Vatant, Ghislain Atemezing and Maria >>> Poveda for the tremendous work they do at curating the Linked Open >>> Vocabularies. >>> >>> >>> LOV is generously hosted by OKFN (http://okfn.org/) and has been >>> supported by the Datalift Association (http://datalift.org/), Fujitsu >>> Laboratories ( >>> http://www.fujitsu.com/ie/research/linked-data-research-team/), INSERM ( >>> http://ics.upmc.fr/) and Mondeca (http://www.mondeca.com/). >>> >>> >>> Hope you will enjoy a new LOV experience! >>> >>> Pierre-Yves Vandenbussche and the LOV curation team. >>> >> >> >
