An Advanced Framework For Semantic Querying Of The Dynamic World Dataset

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 2023 conference on Big Data from Space
Editors	Pierre Soille, Stefanie Lumnitz, Sergio Albani
Place of Publication	Luxembourg
Publisher	European Commission, Luxembourg: Publications Office of the European Union
ISBN (Electronic)	978-92-68-08696-4
DOIs	https://doi.org/10.2760/46796
Publication status	Published - 2 Nov 2023

Fields of Science and Technology Classification 2012

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

@inproceedings{84550e0290ce44d3a9a3c3ad0c0618aa,

title = "An Advanced Framework For Semantic Querying Of The Dynamic World Dataset",

author = "Martin Sudmanns and Lisah Ligono and Hannah Augustin and {Van der Meer}, Lucas and Dirk Tiede",

year = "2023",

month = nov,

day = "2",

doi = "10.2760/46796",

language = "English",

editor = "Pierre Soille and Stefanie Lumnitz and Sergio Albani",

booktitle = "Proceedings of the 2023 conference on Big Data from Space",

publisher = "European Commission, Luxembourg: Publications Office of the European Union",

}

An Advanced Framework For Semantic Querying Of The Dynamic World Dataset. / Sudmanns, Martin; Ligono, Lisah; Augustin, Hannah et al.
Proceedings of the 2023 conference on Big Data from Space. ed. / Pierre Soille; Stefanie Lumnitz; Sergio Albani. Luxembourg: European Commission, Luxembourg: Publications Office of the European Union, 2023.

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

TY - GEN

T1 - An Advanced Framework For Semantic Querying Of The Dynamic World Dataset

AU - Sudmanns, Martin

AU - Ligono, Lisah

AU - Augustin, Hannah

AU - Van der Meer, Lucas

AU - Tiede, Dirk

PY - 2023/11/2

Y1 - 2023/11/2

U2 - 10.2760/46796

DO - 10.2760/46796

M3 - Conference contribution

BT - Proceedings of the 2023 conference on Big Data from Space

A2 - Soille, Pierre

A2 - Lumnitz, Stefanie

A2 - Albani, Sergio

PB - European Commission, Luxembourg: Publications Office of the European Union

CY - Luxembourg

ER -