Hi all,
we are currently having quite a discussion about a stretch at DBpedia.
The main point is that we spent a lot of time maintaining the current
way DBpedia is done, i.e. bi-annual releases. Personally, I feel that
our time would be spent better on innovating it, i.e.
- having links, mappings and ontology maintained at GitHub
https://github.com/dbpedia/links ,
https://github.com/dbpedia/ontology-tracker/ ,
https://github.com/dbpedia/mappings-tracker
- letting the extraction run more frequently (maybe 15 day interval),
but then producing less datasets, i.e. focusing on the ones that are the
most used
- update the endpoint more often
Also we would really benefit in terms of data quality and completeness,
if we were to go for a fused version, where we pick the best data from
all available sources (Wikidata+all DBpedia versions for now, later more
sources like yago, VIAF and other datasets). I mean the data is there,
why not fuse it into something consistent and usable.
This becomes especially obvious, if you look at the
https://meta.wikimedia.org/wiki/Grants:Project/DBpedia/CrossWikiFact
proposal and also at the display of the prototype:
http://downloads.dbpedia.org/temporary/crosswikifact/results/q64.html
The pickle is a bit to decide, whether we should just stop releasing
DBpedia in its current form and put all efforts into a more live version
that also allows more contributions in a timely manner.
Any opinions on this? I have the feeling that we are only marginally
getting better with the current way of running things.
--
All the best,
Sebastian Hellmann
Director of Knowledge Integration and Linked Data Technologies (KILT)
Competence Center
at the Institute for Applied Informatics (InfAI) at Leipzig University
Executive Director of the DBpedia Association
Projects: http://dbpedia.org, http://nlp2rdf.org,
http://linguistics.okfn.org, https://www.w3.org/community/ld4lt
<http://www.w3.org/community/ld4lt>
Homepage: http://aksw.org/SebastianHellmann
Research Group: http://aksw.org
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