A blog about the dblp computer science bibliography

Open citation data and dblp

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. This has led to a number of improvements that many users of dblp may not be aware of. In order to make these features more widely known, we are starting this new “feature spotlight” series of blog posts. And the start will be a big one. Open citation data in computer science Most of the time, Read more…

By Marcel R. Ackermann, ago

Bibliographic database “dblp” celebrates silver anniversary

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. Under the motto “25 years of dblp – 2^22 entries” the database celebrates the milestone of more than 4 million indexed computer science publications. As first keynote speaker, Prof. Dr. Gerhard Weikum (Research Director of the Max Planck Institute for Computer Science in Saarbrücken and former member of the German Council of Science and Humanities) will give an insight into Read more…

By Marcel R. Ackermann, ago

External identifiers in dblp

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. ORCID, Google Scholar, Wikipedia and Twitter should be known to the readers. Wikidata is a LOD data store build on top of Wikpedia that provides query-able data. The others are GND: identifier from the German national Library see here ISNI: global authority file see here zbMath: biographies of Mathematicians see here Math Genealogy:   the Mathematics Genealogy Project. Stores relations between researchers Read more…

By Florian Reitz, ago

ORCID state of dblp

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. Neither of those data sources are free of errors and data hick-ups, so we are still manually cleaning the ORCID data prior to adding them to the corpus. But overall, ORCIDs have helped us to correct numerous cases of homonymous and synonymous bibliographies in dblp, so it is absolutely worth our time. Since the past big ORCID Read more…

By Florian Reitz, ago

Historical dblp file is now available

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. Since then, dblp has gathered (as of March 2018) data on more than 4 million publications written by about 2 million different authors. For each publication and each author, the collection maintains a simple metadata record which contains all descriptive information. The set of all records is available as daily snapshot as well as stable monthly releases. The records are modified frequently to add additional information or to Read more…

By Florian Reitz, ago

Monthly snapshot releases

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. We encourage you to use these snapshot releases for your experiments and to cite their persistent URLs in published articles to. You can find the archived dblp data snapshots at dblp.dagstuhl.de/xml/release/.

By Marcel R. Ackermann, ago