A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://drops.dagstuhl.de/entities/collection/dblp
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
#dblp
The dblp computer science bibliography needs your support!
https://blog.dblp.org/2025/12/18/dblp-is-humbly-asking-you-for-your-kind-support/
A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
#happynewyear
@vardi indexing and metadata is still in the hands of the big publishers (#scopus and #webofscience, for instance). We need to double down on open alternatives (such as #dblp). It would have been a positive surprise if #ACM would have led the way here, but obviously they decided to go in a different direction.
@adamshostack @vardi @tychotithonus I believe our publications should not be in the hand of a single institution. #arXiv, #OpenResearchEurope (https://open-research-europe.ec.europa.eu/) or even better a distributed/federated repository run by universities would be a better solution. In terms of editing, at least in CS, publishers don’t add value but friction (it’s outsourced to underpaid workers who add unnecessary mistakes and are impossible to communicate with), so this step can probably discarded. Indexing is still largely controlled by the big publishers (#scopus), so we need open alternatives (such as #dblp).
The #dblp computer science bibliography faces a strong demand. But its net budget is shrinking. This is why we humbly ask for your kind support in the form of a donation to Schloss #Dagstuhl LZI.
If you value our work and want to help ensure the ongoing maintenance, improvement, and future growth of dblp, learn more or donate here:
https://www.dagstuhl.de/en/dblp/donate
Thank you very much!
A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
@forster There is a massive flood of requests to #dblp coming from all directions. We are usually able to cope most days, but not so much the past four days. We are sorry, and we are actively working on it.
Like many other sites, we have seen an unnatural increase in traffic (for us, by a factor of about 25) since around September 2024. It might be ill-guided AI bots or malicious DDoS; it's hard to tell. And, frankly, in the end: What's the difference? ~MRA
What's wrong with #dblp these days?
New search engines for DBLP (computer science papers). DBLP is different than many search engines as it offers a feature to do search using SPARQL query language.
Ask DBLP tool (offers a natural language interface (NLI) that allows users to question the DBLP Knowledge Graph. The system generates a corresponding SPARQL query, which you can review and edit.):
https://ask-dblp.nliwod.org/
DBLPLink 2.0 tool:
https://dblplink-2.skynet.coypu.org/
RE: https://mastodon.social/@dblp/115537632489930178
Our #dblp user survey is still open:
https://sidonia.dagstuhl.de/survey/index.php/141492
We will be happy to hear from you!
A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://drops.dagstuhl.de/entities/collection/dblp
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
We are glad to join the celebration of the "\(2^5\) years of #dblp - \(2^{23-\varepsilon}\) publications" anniversary of our partner service in computer science!
A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
On Sep 19, 2025, the #dblp #computerscience bibliography will celebrate its 2⁵th = 32nd anniversary with a colloquium. If you happen to be in #Trier, you are welcome to join us:
https://dblp.org/32y
Hannah Bast & team created a #benchmark evaluating the #SPARQL query performance on the #dblp #knowledgegraph. According to the results, using the #Qlever engine was the right decision. ~MRA
https://qlever.cs.uni-freiburg.de/evaluation-paper/www/#/comparison?kb=dblp
https://ad-publications.cs.uni-freiburg.de/ISWC_sparqloscope_BKTU_2025.pdf
https://sparql.dblp.org/
A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
https://drops.dagstuhl.de/entities/collection/dblp
The #dblp team is happy to celebrate reaching the #milestone of having more than 8 million #computerscience publication in the dblp computer science bibliography.
https://blog.dblp.org/2025/07/25/8-million-publications/
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