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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 and 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, p.~152-155. ISBN~978-1-4503-3721-2. Available from: https://dx.doi.org/10.1145/2809563.2809610.
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