TY - GEN
T1 - Integration of Knowledge and Task Management in an Evolving, Communication-intensive Environment
AU - Hübscher, Gerd
AU - Geist, Verena
AU - Auer, Dagmar
AU - Hübscher, Nicole
AU - Küng, Josef
PY - 2020/11/30
Y1 - 2020/11/30
N2 - Digitalisation of knowledge work, especially in communicationintensive
domains is one of the greatest challenges, but also one
of the greatest opportunities to improve today’s working environments.
This demands for a flexible system that supports both
knowledge intensive creative work and highly individual processes.
Smooth integration is hindered by the lack of the task context in
knowledge management systems so far. Furthermore, a model to
define and handle mental concepts, which are typically evolving
during daily work, is missing, to allow for targeted use of appropriate
knowledge in process tasks. In this paper, we propose a bottomup
approach to model and store the static and dynamic aspects of
knowledge in terms of data objects and tasks that are connected
with each other. The proposed solution leverages the flexibility of
a graph-based model to enable open and continuously evolving
user-centred processes for knowledge work, but also predefined
administrative processes. Besides our approach, we show results
from testing a prototypical implementation in a real-life setting in
the domain of intellectual property management applications.
AB - Digitalisation of knowledge work, especially in communicationintensive
domains is one of the greatest challenges, but also one
of the greatest opportunities to improve today’s working environments.
This demands for a flexible system that supports both
knowledge intensive creative work and highly individual processes.
Smooth integration is hindered by the lack of the task context in
knowledge management systems so far. Furthermore, a model to
define and handle mental concepts, which are typically evolving
during daily work, is missing, to allow for targeted use of appropriate
knowledge in process tasks. In this paper, we propose a bottomup
approach to model and store the static and dynamic aspects of
knowledge in terms of data objects and tasks that are connected
with each other. The proposed solution leverages the flexibility of
a graph-based model to enable open and continuously evolving
user-centred processes for knowledge work, but also predefined
administrative processes. Besides our approach, we show results
from testing a prototypical implementation in a real-life setting in
the domain of intellectual property management applications.
UR - https://www.scopus.com/pages/publications/85100332655
U2 - 10.1145/3428757.3429260
DO - 10.1145/3428757.3429260
M3 - Conference proceedings
SN - 978-1-4503-8924-2
T3 - ACM International Conference Proceeding Series
SP - 407
EP - 416
BT - Proceedings of iiWAS 2020
A2 - Indrawan-Santiago, Maria
A2 - Pardede, Eric
A2 - Salvadori, Ivan Luiz
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Kotsis, Gabriele
PB - ACM
CY - New York
ER -