TY  - GEN
A1  - Schaub, Torsten H.
A1  - Woltran, Stefan
T1  - Special issue on answer set programming
T2  - Künstliche Intelligenz
Y1  - 2018
U6  - https://doi.org/10.1007/s13218-018-0554-8
SN  - 0933-1875
SN  - 1610-1987
VL  - 32
IS  - 2-3
SP  - 101
EP  - 103
PB  - Springer
CY  - Heidelberg
ER  - 
TY  - GEN
A1  - Lifschitz, Vladimir
A1  - Schaub, Torsten H.
A1  - Woltran, Stefan
T1  - Interview with Vladimir Lifschitz
T2  - Künstliche Intelligenz
N2  - This interview with Vladimir Lifschitz was conducted by Torsten Schaub at the University of Texas at Austin in August 2017. The question set was compiled by Torsten Schaub and Stefan Woltran.
Y1  - 2018
U6  - https://doi.org/10.1007/s13218-018-0552-x
SN  - 0933-1875
SN  - 1610-1987
VL  - 32
IS  - 2-3
SP  - 213
EP  - 218
PB  - Springer
CY  - Heidelberg
ER  - 
TY  - GEN
A1  - Hesse, Günter
A1  - Matthies, Christoph
A1  - Sinzig, Werner
A1  - Uflacker, Matthias
T1  - Adding Value by Combining Business and Sensor Data
BT  - an Industry 4.0 Use Case
T2  - Database Systems for Advanced Applications
N2  - Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data’s full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs.
KW  - Industry 4.0
KW  - Internet of Things
KW  - Data integration
Y1  - 2019
SN  - 978-3-030-18590-9
SN  - 978-3-030-18589-3
U6  - https://doi.org/10.1007/978-3-030-18590-9_80
SN  - 0302-9743
SN  - 1611-3349
VL  - 11448
SP  - 528
EP  - 532
PB  - Springer
CY  - Cham
ER  - 
TY  - GEN
A1  - Combi, Carlo
A1  - Oliboni, Barbara
A1  - Weske, Mathias
A1  - Zerbato, Francesca
ED  - Trujillo, JC Davis
T1  - Conceptual modeling of processes and data
BT  - Connecting different perspectives
T2  - Conceptual Modeling, ER 2018
N2  - Business processes constantly generate, manipulate, and consume data that are managed by organizational databases. Despite being central to process modeling and execution, the link between processes and data is often handled by developers when the process is implemented, thus leaving the connection unexplored during the conceptual design. In this paper, we introduce, formalize, and evaluate a novel conceptual view that bridges the gap between process and data models, and show some kinds of interesting insights that can be derived from this novel proposal.
Y1  - 2018
SN  - 978-3-030-00847-5
SN  - 978-3-030-00846-8
U6  - https://doi.org/10.1007/978-3-030-00847-5_18
SN  - 0302-9743
SN  - 1611-3349
VL  - 11157
SP  - 236
EP  - 250
PB  - Springer
CY  - Cham
ER  - 
TY  - GEN
A1  - Brewka, Gerhard
A1  - Schaub, Torsten H.
A1  - Woltran, Stefan
T1  - Interview with Gerhard Brewka
T2  - Künstliche Intelligenz
N2  - This interview with Gerhard Brewka was conducted by correspondance in May 2018. The question set was compiled by Torsten Schaub and Stefan Woltran.
Y1  - 2018
U6  - https://doi.org/10.1007/s13218-018-0549-5
SN  - 0933-1875
SN  - 1610-1987
VL  - 32
IS  - 2-3
SP  - 219
EP  - 221
PB  - Springer
CY  - Heidelberg
ER  -