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@inproceedings{1332198,
author = {Gatarik, Eva and Kulhavý, Viktor and Born, Rainer},
address = {New York, USA},
booktitle = {i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business},
doi = {http://dx.doi.org/10.1145/2809563.2809610},
keywords = {Skilful performance; meaning; enactment of organizational knowledge; dialogue; meta-reflection; the LIR model-theoretic systemic framework of analysis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {New York, USA},
isbn = {978-1-4503-3721-2},
pages = {152-155},
publisher = {Association for Computing Machinery (ACM)},
title = {Framing skilful performance to enact organizational knowledge: (a proposal for the integration of data-driven and user-driven approaches to cognitive computing)},
year = {2015}
}
TY - JOUR
ID - 1332198
AU - Gatarik, Eva - Kulhavý, Viktor - Born, Rainer
PY - 2015
TI - Framing skilful performance to enact organizational knowledge: (a proposal for the integration of data-driven and user-driven approaches to cognitive computing)
PB - Association for Computing Machinery (ACM)
CY - New York, USA
SN - 9781450337212
KW - Skilful performance
KW - meaning
KW - enactment of organizational knowledge
KW - dialogue
KW - meta-reflection
KW - the LIR model-theoretic systemic framework of analysis
N2 - Whereas we know a great deal about what characterizes organizational knowledge and what forms it can -- or even should -- take, we know significantly less about how that knowledge is -- and should be -- enacted or built up in skilful performance in and by organizations. This research is based on the extension of classical approaches to formal semantics especially into situation semantics in the LIR (Language -- Information -- Reality) model-theoretic systemic framework of analysis. The purpose of this research is to methodologically identify and describe the enactment of knowledge in skilful performance in and by organizations to support the integration both of data-driven and user-driven approaches to cognitive computing.
ER -
GATARIK, Eva, Viktor KULHAVÝ a Rainer BORN. Framing skilful performance to enact organizational knowledge: (a proposal for the integration of data-driven and user-driven approaches to cognitive computing). Online. In \textit{i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business}. New York, USA: Association for Computing Machinery (ACM), 2015, s.~152-155. ISBN~978-1-4503-3721-2. Dostupné z: https://dx.doi.org/10.1145/2809563.2809610.
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