The dblp Knowledge Graph (dblp KG) is a fully semantic view on all the data and relationships that you can find in the dblp computer science bibliography. In the recent years, the dblp team has been actively working on building the dblp KG, as we already discussed in several recent Read more…
More than two years ago, we first published our dblp Knowledge Graph as an dblp RDF dump file. We have since been working on expanding and updating our RDF schema, as well as on adding new semantic relations to the graph. Today, we release our first major extension to the Read more…
(updated 2023-06-28) A few days ago, we discussed the new dataset publications in dblp. As a preparation for more and more detailed datasets we slightly modify the DTD that defines the structure of our XML data export. A quick reminder: you can download the dblp dataset as a single XML Read more…
In the six months since the release of the dblp RDF dump and its persistent snapshot releases, the RDF dump has been downloaded a total of about a thousand times. We are pleased to see that the community is interested in using our semantic data in their research and beyond. Read more…
For more than 20 years, a full dump of all dblp records in our own XML format has been available as open data for download and reuse. These dump files have always been in high demand over the years (with 500+ downloads in February 2022 alone) and are used as Read more…
Interested in working on the world’s most comprehensive open indexing service in computer science? We are currently looking for three additional members to join the dblp team. This includes the opportunity to qualify yourself for a doctorate in the context of the challenges arising from managing and operating a semantic Read more…
Starting today, all of dblp’s data will be released under the CC0 1.0 Creative Commons Public Domain License. This affects all metadata releases, in particular the daily and monthly data dumps and data retrieved from the web APIs. This change will make it easier for you to reuse our data. Read more…