A blog about the dblp computer science bibliography

Results and Findings from the 2025/2026 dblp User Survey

From November 2025 to January 2026, we once again invited you to participate in our online user survey. Our goal remained the same as in the previous survey from 2020/2021: to better understand how researchers are using dblp, how our services are perceived, and where we should focus our future efforts. To this end, we employed a version of the questionnaire that was only slightly updated and extended from five years ago, which enables the comparison of the answers. Again, the response of the community was amazing. We received a total of 534 responses, of which 316 were fully completed and 218 partially completed. This provided us with a wealth of valuable feedback, constructive criticism, and thoughtful suggestions. Your kind Read more

By Marcel R. Ackermann, ago

dblp is humbly asking you for your kind support

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, please consider making a contribution. Even a small donation can help us hire more editorial staff and invest in better infrastructure, thereby sustaining dblp as a common good for the international computer science community. Learn more or donate here: https://www.dagstuhl.de/en/dblp/donate

By Marcel R. Ackermann, ago

Celebratory Colloquium: “2^5 years of dblp – 2^23 publications”

For more than 32 years, the dblp computer science bibliography (https://dblp.org) has been providing the computer science community with open, quality-checked, and curated research information. Initially developed by Dr. Michael Ley at the University of Trier, dblp is today operated by Schloss Dagstuhl – Leibniz Center for Informatics and supports over a million computer scientists worldwide in their daily work. Overall, the databases indexes now more than 8 million indexes international computer science publications from all sub-disciplines of the field. A festive colloquium will be held on Friday, September 19, 2025, at the University of Trier to celebrate the 32nd anniversary of dblp. The motto, “2^5 years of dblp — 2^23 publications,” is a nod to the tradition in computer science Read more

By Marcel R. Ackermann, ago

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 provides a clean and well-structured user interface, metadata and BibTeX records for all datasets are readily available, and required auxiliary files (like the matching DTD files for the XML releases) are always just one click away. However, the probably most important improvement is that each dblp data release is now (finally!) properly registered for and labeled with a DOI. DOIs for dblp data releases All persistently stored dataset releases have Read more

By Marcel R. Ackermann, ago

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 blog posts. It has already proven to be quite useful, as the dblp KG makes sharing dblp’s curated data and combining it with other semantic data sources easy and straightforward. But it also enables us to launch a new tool that will allow you to generate new insights well beyond the current capabilities of our prepared web pages and our simple text-based search: our brand new dblp SPARQL query service. Read more

By Marcel R. Ackermann, ago

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 dblp KG: We added publication venues (e.g., journals and conference series) as first-class entities to the graph. Introducing dblp:Stream Until recently, the dblp KG had been mainly an “almost bipartite” graph of publications (dblp:Publication) and their creators (dblp:Creator). At some point we introduced further reification entities to model more context, but the publication-creator network remained at the core of the graph. With the new dblp:Stream class we now introduce a Read more

By Marcel R. Ackermann, ago

DTD update May 2023

(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 file. For more details please see our FAQ page. All modifications are additions or slight changes of data type. They should not affect most data imports. The new DTD can be used for older releases of the XML file. We will not add the new elements/attributes before May 29, 2023. All changes can be seen in our change log. If you have any questions please contact us. The changes Added Read more

By Florian Reitz, ago

Dataset publications in dblp

Datasets and other research artifacts are a major topic in the scientific community in the recent years. Many ongoing projects focus on improving the standardization, publication and citation of these artifacts. Currently, the dblp team is involved in three of them: NFDI4DataScience, NFDIxCS, and Unknown Data. As part of these projects, we are happy to announce that datasets and artifacts have now been added as true “first-class citizens” to dblp, just like any other research contribution. To this end, we updated our internal tools to better support datasets as a type of publication. We started to index some dataset repositories, such as Zenodo and IEEE DataPort, with many more to come. A first batch about 3,700 data publications is already Read more

By Benedikt Maria Beckermann, ago