Record link: 
http://hdl.handle.net/20.500.12708/139101
-
Title: 
Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis
en
Citation: 
Ekaputra, F. J., Ekelhart, A., Mayer, R., Miksa, T., Šarčević, T., Tsepelakis, S., & Waltersdorfer, L. (2022). Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis. Semantic Web: Interoperability, Usability, Applicability, 1–34. https://doi.org/10.3233/sw-212883
-
Publisher DOI: 
10.3233/sw-212883
-
Publication Type: 
Article - Original Research Article
en
Language: 
English
-
Authors: 
Ekaputra, Fajar J. 
Ekelhart, Andreas 
Mayer, Rudolf 
Miksa, Tomasz 
Šarčević, Tanja 
Tsepelakis, Sotirios 
Waltersdorfer, Laura 
-
Organisational Unit: 
E194 - Institut für Information Systems Engineering 
E194-01 - Forschungsbereich Software Engineering 
-
Journal: 
Semantic Web: Interoperability, Usability, Applicability 
-
ISSN: 
1570-0844
-
Date (published): 
Jan-2022
-
Number of Pages: 
34
-
Peer reviewed: 
Yes
-
Keywords: 
Computer Science Applications; Information Systems; Computer Networks and Communications
en
Research Areas: 
Information Systems Engineering: 100%
-
Science Branch: 
Informatik
-
Appears in Collections:
Article

Show full item record

Page view(s)

293
checked on Nov 22, 2023

Google ScholarTM

Check

OSZAR »