As a LIPIcs/OASIcs author, you will be invited by e-mail to register at the Dagstuhl Submission Server. The server will guide you through the publication workflow. Preliminary information can be found here:
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. 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 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.
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.
(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.
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.
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).
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. […]
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 […]
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 […]
From December 2020 to January 2021, we asked you to participate in an online survey in order to help us understand how researchers are using dblp, and how dblp and its features are perceived by the public. The response exceeded our expectations: We received the amazingly high number of 1046 […]
A big change has just been made to the dblp website … and, in case we did our job right, you may even haven’t noticed yet: With the latest update, we introduced major changes to the dblp URL scheme. In particular, this applies to the URLs of all author bibliographies […]
In the past, we often discussed how helpful ORCIDs are for our work. An ORCID (Open Researcher and Contributor ID) is a unique personal identifier that scientists can attach to their work. The ORCID ensures that this work is linked to the correct scientist an not to someone else with […]
The world's largest computing society, the Association for Computer Machinery (ACM), has bestowed its prestigious ACM Distinguished Service Award 2019 on computer scientist Dr. Michael Ley of Schloss Dagstuhl Leibniz-Center for Informatics and of Trier University. ACM thus recognizes Dr. Ley's achievement in the creation and unceasing editorial curation of the dblp computer science bibliography.
On March 23rd, 2020, the dblp computer science bibliography indexed its 5 millionth publication. By doing so, the world's largest openly accessible metadata collection of computer science publications doubled in size during the course of just six years.
At the end of March 2020 dblp provides bibliographies for almost 2.5 million scientists. With this number, it is not surprising that we have namesakes – scientists with the exact same name. For historical reasons, all persons in dblp must have different names. We circumvent this problem by assigning numeric […]
Our primary goal is to ensure that bibliographies (list of publications) of authors in dblp are correct. This means that all publications of a person should be listed in the same list and that a list should contain only publications from one specific person. It can be difficult to ensure […]
The dblp computer science bibliography provides more than 5 million hyperlinks for research publications. Most of those links point to article landing pages within a publisher’s digital library. A growing number of publishers have adopted the open access model of publishing, thereby allowing the dissemination of research results free of […]
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. […]