Getting the big picture in cross-domain fusion
Zusammenfassung
A central promise of cross-domain fusion (CDF) is the provision of a “bigger picture” that integrates different disciplines and may span very different levels of detail. We present a number of settings that call for this bigger picture, with a particular focus on how information from several domains can be made easily accessible and visualizable for different stakeholders. We propose harnessing an approach that is now well established in interactive maps, which we refer to as the “Google maps approach” (Google LLC, Mountain View, CA, USA), which combines effective filtering with intuitive user interaction. We expect this approach to be applicable to a range of CDF settings.
- Vollständige Referenz
- BibTeX
von Hanxleden, R., Biastoch, A., Fohrer, N., Renz, M. & Vafeidis, A.,
(2022).
Getting the big picture in cross-domain fusion.
Informatik Spektrum: Vol. 45, No. 4.
Springer.
(S. 229-233).
DOI: 10.1007/s00287-022-01471-2
@article{mci/von Hanxleden2022,
author = {von Hanxleden, Reinhard AND Biastoch, Arne AND Fohrer, Nicola AND Renz, Matthias AND Vafeidis, Athanasios},
title = {Getting the big picture in cross-domain fusion},
journal = {Informatik Spektrum},
volume = {45},
number = {4},
year = {2022},
,
pages = { 229-233 } ,
doi = { 10.1007/s00287-022-01471-2 }
}
author = {von Hanxleden, Reinhard AND Biastoch, Arne AND Fohrer, Nicola AND Renz, Matthias AND Vafeidis, Athanasios},
title = {Getting the big picture in cross-domain fusion},
journal = {Informatik Spektrum},
volume = {45},
number = {4},
year = {2022},
,
pages = { 229-233 } ,
doi = { 10.1007/s00287-022-01471-2 }
}
Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.1007/s00287-022-01471-2
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISSN: 1432-122X
Datum: 2022
Typ: Text/Journal Article

