Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.

Sven Groppe; Le Gruenwald; Valentina Presutti

doi:10.1145/3391274

Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.

Sven Groppe, Le Gruenwald, Valentina Presutti

Original language	English
Journal	ACM Digital Library
DOIs	https://doi.org/10.1145/3391274
Publication status	Published - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 14 Life Below Water
SDG 15 Life on Land

Research Areas and Centers

Centers: Center for Artificial Intelligence Luebeck (ZKIL)
Research Area: Intelligent Systems

DFG Research Classification Scheme

4.43-03 Security and Dependability, Operating, Communication and Distributed Systems

Access to Document

10.1145/3391274

https://dblp.org/rec/conf/sigmod/2020sbd

Cite this

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title = "Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.",

author = "Sven Groppe and Le Gruenwald and Valentina Presutti",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

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doi = "10.1145/3391274",

language = "English",

journal = "ACM Digital Library",

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T1 - Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.

AU - Groppe, Sven

AU - Gruenwald, Le

AU - Presutti, Valentina

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

U2 - 10.1145/3391274

DO - 10.1145/3391274

M3 - Editorial

JO - ACM Digital Library

JF - ACM Digital Library

ER -