at Google ScholarTitle data
Schönig, Stefan ; Zeising, Michael ; Jablonski, Stefan:
Towards Location-Aware Declarative Business Process Management.
In: Abramowicz, Witold ; Kokkinaki, Angelika
(ed.):
Business Information Systems Workshops : BIS 2014 Revised Papers. -
Cham
: Springer
,
2014
. - pp. 40-51
. - (Lecture Notes in Business Information Processing
; 183
)
ISBN 978-3-319-11460-6
DOI: https://doi.org/10.1007/978-3-319-11460-6_4
Abstract in another language
Business process modelling usually involves perspectives like the functional (what), the organizational (who), the data-based (consuming and producing which information) and the behavioural (when) perspective. However, the so-called “locational” perspective is either neglected or vaguely contained in one of the others. A locational perspective implies that locations are treated as “first-class” modelling entities like processes and data objects. The assignment of tasks to participants and the progression of a process may then depend on these locations. This contribution describes how such location aware processes may be modelled and how a process execution system can be extended in a way so that it interprets these processes.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Business process execution; Location awareness; Geo information; Process modelling |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 07 Dec 2017 08:19 |
| Last Modified: | 07 Dec 2017 08:19 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/34107 |