A blog about the dblp computer science bibliography

Schloss Dagstuhl – Leibniz Center for Informatics

8 million publications

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 […]

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.

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

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.

Updates to the dblp RDF schema

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.

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 responses to our survey in total, with 760 surveys fully answered and 286 surveys partially completed.

Results and learnings from the dblp User Survey 2020/2021

On July 2, 2021, the German Joint Science Conference (Gemeinsame Wissenschaftskonferenz, GWK) decided to fund the National Research Data Infrastructure (NFDI) consortium for Data Science and Artificial Intelligence (NFDI4DataScience) with an amount in the double-digit millions over a duration of five years.

On July 2, 2021, the German Joint Science Conference (Gemeinsame Wissenschaftskonferenz, GWK) decided to fund the National Research Data Infrastructure (NFDI) consortium for Data Science and Artificial Intelligence (

 NFDI4DataScience

) with an amount in the double-digit millions over a duration of five years.

Schloss Dagstuhl becomes part of the National Research Data Infrastructure for Data Science and Artificial Intelligence

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.

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.

OpenAlex integration in dblp

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.

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.

License change to CC0

For more than 25 years now, the dblp computer science bibliography has been indexing and supporting international computer science research. Since today, the future of the database has also been secured at the Leibniz Center for Computer Science in Schloss Dagstuhl.

For more than 25 years now, the dblp computer science bibliography has been indexing and supporting international computer science research. Since today, the future of the database has also been secured at the Leibniz Center for Computer Science in Schloss Dagstuhl.

On this occasion, a festive colloquium will be held at the University of Trier on Friday, November 23rd, 2018.

Bibliographic database “dblp” celebrates silver anniversary

Since more than a year now, dblp has intensified its efforts to link dblp bibliographies to ORCIDs used by that author. ORCID information are now added regularly to the dblp data set.

Since more than a year now, dblp has intensified its efforts to link dblp bibliographies to ORCIDs used by that author. ORCID information are now added regularly to the dblp data set. The primary sources for ORCIDs are: first, the annual ORCID open data dump and, second, metadata directly provided by publishers who have started to increasingly label author signatures with ORCID information.

ORCID state of dblp

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.

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.

Dr. Michael Ley to receive the ACM Distinguished Service Award

A historical version of the dblp.xml (called hdblp.xml) is now available at zenodo. hdblp contains historical revisions of all metadata records in dblp. The file can be used to reconstruct the state of dblp for each day between June 1999 and March 2018.

A historical version of the dblp.xml (called hdblp.xml) is now available at zenodo. hdblp contains historical revisions of all metadata records in dblp. The file can be used to reconstruct the state of dblp for each day between June 1999 and March 2018. The dblp computer science bibliography was founded in 1993.

Historical dblp file is now available

4 million publications

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.

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.

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

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.

Dataset publications in dblp

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.

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.

dblp computer science bibliography surpasses 5 million publications

Finally, all dblp servers now support HTTPS. We will gradually move towards exclusively using HTTPS in the future, so please feel free to update your bookmarks.

dblp via HTTPS

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.

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.

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

7 million publications

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 […]

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

dblp dump releases now have a DOI

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.

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 research information infrastructure like dblp.    For more information, please read our current job openings.

We are hiring!

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.

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.

Introducing our public SPARQL query service

(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.

(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.

DTD update May 2023

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.

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 a research dataset in numerous publications. For quite some time now, we have been asked to provide a

 full RDF dump

as well.

dblp in RDF

6 million publications

You may not always notice this, but the dblp team is constantly working on the dblp website and its APIs in order to improve the quality of the services and the value for our users. Often these are just small details and fixes, but sometimes we introduce new features.

You may not always notice this, but the dblp team is constantly working on the dblp website and its APIs in order to improve the quality of the services and the value for our users. Often these are just small details and fixes, but sometimes we introduce new features. Yet, in the past, we often rolled out those features silently with no major announcements.

Open citation data and dblp

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.

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 listed on dblp, which are now served under a new and persistent URL.

New dblp URL scheme and API updates

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.

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 same or similar name. We at dblp use ORCIDs to create clean bibliographies.

dblp and ORCID 2020

5 million publications

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.

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 this and despite our best efforts, we assign publications to the wrong publication list. Because of this, we frequently check our data set and correct mistakes.

Corrections in dblp

There are now more than 60,000 manually confirmed external IDs linked with dblp author bibliographies. This is quite an improvement.

There are now more than 60,000 manually confirmed external IDs linked with dblp author bibliographies. This is quite an improvement. Below you can see the number of external identifiers at the end of each year compared to the numbers in October 2018    As you can see, our definition of external identifier is a bit wider than usual. E.g., we include Twitter profiles here.

External identifiers in dblp

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.

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 suffixes to names that are not unique. E.g., there are multiple Thomas Müller in dblp.

Name disambiguation suffixes in dblp

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.

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 cost and without any access barrier.

Unpaywalled article links

The dblp data set (found at dblp.dagstuhl.de/xml/) is studied or used as a benchmark in many scientific publications. However, due to the daily updates to dblp, it can be sometimes difficult to reproduce experimental results made on earlier versions.

The dblp data set (found at dblp.dagstuhl.de/xml/) is studied or used as a benchmark in many scientific publications. However, due to the daily updates to dblp, it can be sometimes difficult to reproduce experimental results made on earlier versions. To remedy this problem, starting from today, dblp will provide and archive

 stable monthly snapshot releases

of the dblp data set.

blog.dblp.org

dblp via HTTPS

4 million publications

Monthly snapshot releases