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Marcel R. Ackermann

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8 million publications

By Marcel R. Ackermann, 2 weeks ago
Blog Feature Spotlight News

dblp dump releases now have a DOI

Since this December’s release, hosting the monthly dblp dump snapshots (in both XML and RDF/N-Triples format) has moved to the Dagstuhl Research Online Publication Server (DROPS). This step brings many advantages over the old Apache Directory Listings solution that dblp has been using since the mid-1990s: The DROPS digital library Read more

By Marcel R. Ackermann, 8 monthsDecember 2, 2024 ago
Blog Feature Spotlight News

Introducing our public SPARQL query service

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

By Marcel R. Ackermann, 11 monthsSeptember 9, 2024 ago
Blog Feature Spotlight News

The dblp Knowledge Graph: major extension and an update to the RDF schema

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

By Marcel R. Ackermann, 1 yearJune 14, 2024 ago
News

7 million publications

By Marcel R. Ackermann, 2 yearsJanuary 1, 2024 ago
Press Release

Building the German Research Data Infrastructure NFDI – for and with Computer Science

On November 4, 2022, the Joint Science Conference (GWK) selected Schloss Dagstuhl – Leibniz Center for Informatics and the consortium NFDIxCS for federal and state funding within the German National Research Data Infrastructure (NFDI). The consortium will be funded in the double-digit millions of Euros and over a duration of five Read more

By Marcel R. Ackermann, 3 yearsNovember 14, 2022 ago
News

Updates to the dblp RDF schema

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

By Marcel R. Ackermann, 3 yearsSeptember 9, 2022 ago
Blog Feature Spotlight

OpenAlex integration in dblp

For more than 12 years, the Microsoft Academic Search, later renamed to just Microsoft Academic and eventually to Microsoft Academic Graph (MAG), had been the software giant’s  scholarly bibliographic information service. Despite it being one of the most comprehensive collections across all scientific fields out there, Microsoft obviously never envisioned Read more

By Marcel R. Ackermann, 3 yearsAugust 31, 2022 ago
Feature Spotlight News

dblp in RDF

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

By Marcel R. Ackermann, 3 yearsMarch 2, 2022 ago
News

6 million publications

By Marcel R. Ackermann, 3 years ago

Posts pagination

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Recent Posts
  • 8 million publications July 25, 2025
  • dblp dump releases now have a DOI December 2, 2024
  • Introducing our public SPARQL query service September 9, 2024
  • The dblp Knowledge Graph: major extension and an update to the RDF schema June 14, 2024
  • 7 million publications January 1, 2024
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About This Site

The dblp computer science bibliography is the open bibliographic information service on major computer science journals and proceedings. dblp was originally founded at the University of Trier and is maintained by Schloss Dagstuhl – Leibniz Center for Informatics. For more information check out our F.A.Q.

Opinions, thoughts, and views expressed as blog articles here belong solely to the respective author, and not necessarily to the author’s employer, organization, or any other group or individual.

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