A blog about the dblp computer science bibliography

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

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 years. Together with its sister consortium NFDI4DataScience, this is already the second NFDI grant that has been awarded to Schloss Dagstuhl. The NFDI is a collaborative, nationwide network to systematically index, interconnect, and make openly available the valuable stock of data from science and research. Together with 16 other leading partner institutions, Schloss Dagstuhl aims to systematically manage research data in computer science. The main goal of NFDIxCS is to Read more

By Marcel R. Ackermann, ago

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. However, based on the feedback we have received and the experience we have had experimenting with query interfaces for the data, we have also noticed a number of shortcomings in our schema that we want to address. Therefore, as of September 9, 2022, we are changing a few details about the dblp RDF schema. These changes aim (in part) to make the schema more convenient in practice, e.g., in SPARQL Read more

By Marcel R. Ackermann, ago