Classification framework for context data from business processes
- New business concepts such as Enterprise 2.0 foster the use of social software in enterprises. Especially social production significantly increases the amount of data in the context of business processes. Unfortunately, these data are still an unearthed treasure in many enterprises. Due to advances in data processing such as Big Data, the exploitation of context data becomes feasible. To provide a foundation for the methodical exploitation of context data, this paper introduces a classification, based on two classes, intrinsic and extrinsic data.
| Author of HS Reutlingen | Zimmermann, Alfred |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-319-15895-2_37 |
| ISBN: | 978-331-91589-5-2 |
| Erschienen in: | Business Process Management Workshops : BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Fabiana Fournier |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2015 |
| Tag: | BPM; business processes; context data; extrinsic data; intrinsic data |
| Page Number: | 6 |
| First Page: | 440 |
| Last Page: | 445 |
| PPN: | Im Katalog der Hochschule Reutlingen ansehen |
| DDC classes: | 004 Informatik |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
