Framing skilful performance to enact organizational knowledge: (a proposal for the integration of data-driven and user-driven approaches to cognitive computing)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F15%3A00086181" target="_blank" >RIV/00216224:14560/15:00086181 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2809563.2809610" target="_blank" >http://dx.doi.org/10.1145/2809563.2809610</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2809563.2809610" target="_blank" >10.1145/2809563.2809610</a>
Alternative languages
Result language
angličtina
Original language name
Framing skilful performance to enact organizational knowledge: (a proposal for the integration of data-driven and user-driven approaches to cognitive computing)
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business
ISBN
9781450337212
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
152-155
Publisher name
Association for Computing Machinery (ACM)
Place of publication
New York, USA
Event location
Graz, Rakousko
Event date
Oct 21, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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