Artifact
dblp computer science bibliography – XML Document Type Definition (DTD) Release of May 2023 Dataset
Author
dblp Team 
-
Part of:
Collection:
dblp computer science bibliography – XML Document Type Definition (DTD) Release
Collection: dblp Artifacts - License:
Creative Commons Zero v1.0 Universal
- Publication Date: 2023-05-10
Document Identifiers
Author Details
Further Contributors
Michael Ley
ProjectLeader
- University of Trier
- Schloss Dagstuhl – Leibniz Center for Informatics
Marcel R. Ackermann
ProjectMember
- Schloss Dagstuhl – Leibniz Center for Informatics
Florian Reitz
ProjectMember
- Schloss Dagstuhl – Leibniz Center for Informatics
Oliver Hoffmann
ProjectMember
- Schloss Dagstuhl – Leibniz Center for Informatics
Stefan Ollinger
ProjectMember
- Schloss Dagstuhl – Leibniz Center for Informatics
Benedikt Maria Beckermann
ProjectMember
- Schloss Dagstuhl – Leibniz Center for Informatics
Martin Blum
ProjectMember
- Schloss Dagstuhl – Leibniz Center for Informatics
File
dblp-2023-05-10.dtd
(Filesize: 12 kB)
MD5 Sum:
e5c1b4d00bdd911046e3abbf4cb065f8
(Get MD5 Sum)
Version/Status
- Version: 2023-05-10
Cite As Get BibTex
dblp Team. dblp computer science bibliography – XML Document Type Definition (DTD) Release of May 2023. Schloss Dagstuhl – Leibniz-Zentrum für Informatik
https://doi.org/10.4230/dblp.xml.dtd.2023-05-10
Description
This file contains the dblp XML document type definition (DTD) of dblp XML record data. The dblp computer science bibliography is the open indexing service and knowledge graph of the computer science community. dblp provides quality-checked and curated bibliographic metadata on major computer science journals, proceedings, and monographs, as well as metadata and identifiers about their authors and the venues they have been published in.
Subject Classification
Keywords
- dblp
- computer science
- bibliography
- knowledge graph
- open data
Funding
-
Federal Ministry of Education and Research
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Ministry of Science, Education and Culture
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Saarland State Chancellery
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German Research Foundation
Unknown Data – Erfassung und Konsolidierung von Metadaten für Forschungsdaten aus dem Web
Award/Grant Number
460676019
-
German Research Foundation
NFDI4DS - NFDI für Datenwissenschaften und Künstliche Intelligenz
Award/Grant Number
460234259
-
German Research Foundation
Nationale Forschungsdateninfrastruktur für und mit Computer Science
Award/Grant Number
501930651
Metrics
- Access Statistics
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Total Accesses (updated on a weekly basis)