DBLP Computer Science Bibliography

DBLP Computer Science Bibliography
dblp.org · Public domain · source
Name	DBLP Computer Science Bibliography
Established	1993
Type	Bibliographic database
Discipline	Computer science
Country	Germany
Headquarters	Schloss Dagstuhl
Languages	English

DBLP Computer Science Bibliography DBLP Computer Science Bibliography is an online bibliographic database for publications in Computer science and related areas, widely used by researchers, librarians, and institutions such as MIT, Stanford University, Carnegie Mellon University, University of California, Berkeley, and ETH Zurich. It aggregates metadata for conference proceedings, journal articles, and technical reports from sources associated with organizations like the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, Springer Science+Business Media, Elsevier, and ACM SIGPLAN. The resource is referenced in contexts involving figures such as Donald Knuth, Edsger W. Dijkstra, Tony Hoare, Alan Turing, and John von Neumann.

Overview

DBLP provides structured bibliographic records covering venues including the International Conference on Software Engineering, the SIGGRAPH Conference, the NeurIPS Conference, the International Conference on Machine Learning, and the Conference on Computer and Communications Security. Entries typically include authors such as Ada Lovelace, Grace Hopper, Tim Berners-Lee, Linus Torvalds, and Barbara Liskov and link to publications by publishers like IEEE Computer Society, ACM Publications, Springer, and Wiley-Blackwell. The database interoperates with bibliographic tools used at institutions like Harvard University, Yale University, Princeton University, Oxford University, and Cambridge University.

History and Development

DBLP originated at the University of Trier and was later associated with Schloss Dagstuhl and the Leibniz Center for Informatics, with stewardship involving contributors from German Research Foundation-funded projects and collaborations with scholars connected to Max Planck Society and Fraunhofer Society. Early development intersected with milestones involving entities such as SIGMOD, VLDB, ICSE, STOC, and FOCS and drew on bibliographic traditions represented by figures like Michael Stonebraker and Jim Gray. Over time, DBLP expanded alongside initiatives from Google Scholar, Microsoft Academic, Scopus, CrossRef, and PubMed Central.

Coverage and Data Sources

DBLP ingests records from conference series and journals including Journal of the ACM, Communications of the ACM, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, and proceedings from IJCAI, AAAI, COLT, SIGIR, KDD, CVPR, ICCV, and ECCV. Data provenance often involves publishers such as Elsevier, Springer Nature, Taylor & Francis, and aggregators like CrossRef and ORCID records used by researchers including Andrew Ng, Geoffrey Hinton, Yann LeCun, Fei-Fei Li, and Judea Pearl. Coverage decisions reflect contributions from editorial boards at institutions including University of Illinois Urbana-Champaign, Columbia University, University of Washington, University of Toronto, and University of Edinburgh.

Organization and Access

The database organizes entries by author, venue, and year, facilitating discovery of works by scholars such as Peter Norvig, John McCarthy, Marvin Minsky, J. H. Conway, and Noam Chomsky and enabling queries relevant to conferences like SIGCOMM, PODC, SOSP, OSDI, and ASPLOS. Access modes include web search interfaces used by libraries at Cornell University, API-style data dumps similar to services from Wikidata and Internet Archive, and integration with citation systems at National Institutes of Health and European Research Council. Institutions such as MIT Media Lab, IBM Research, Microsoft Research, Google Research, and Facebook AI Research commonly rely on DBLP-derived metadata.

Impact and Use in Research

DBLP influences bibliometric analyses undertaken by centers like Centre for Science and Technology Studies, metrics used in evaluations by National Science Foundation, and literature reviews conducted at Stanford AI Lab, Berkeley AI Research, Oxford Robotics Institute, and ETH Zurich Robotics. Its records underpin citation studies referencing works by Claude Shannon, Edsger Dijkstra, Alan Kay, Ivan Sutherland, and Donald Knuth and assist reproducibility efforts in projects affiliated with OpenAI, DeepMind, IBM Watson, and DARPA. The database is cited in publications from journals such as Nature, Science, IEEE Spectrum, Communications of the ACM, and ACM Computing Surveys.

Technical Infrastructure and Formats

DBLP distributes data in formats including XML and BibTeX and interoperates with identifier systems such as Digital Object Identifier, ORCID, and International Standard Serial Number. Its infrastructure leverages standards and tooling akin to those used by Apache Hadoop, PostgreSQL, Elasticsearch, and Git workflows employed in projects at Linux Foundation and Apache Software Foundation. Export formats support citation managers used at Zotero, Mendeley, EndNote, and JabRef and are compatible with bibliographic metadata practices at CrossRef and DataCite.

Privacy, Licensing, and Curation Policies

DBLP follows curation practices influenced by policy frameworks from organizations like European Union agencies, German Research Foundation, and principles echoed in initiatives by Creative Commons and Open Researcher and Contributor ID. Licensing for metadata accommodates permissive reuse while respecting publisher agreements involving IEEE, ACM, Springer, and Elsevier. Curation workflows involve human editors and automated processes similar to those at arXiv, bioRxiv, and repositories maintained by National Institutes of Health and European Bioinformatics Institute.

Category:Bibliographic databases