DocumentCode :
2375366
Title :
Towards characterizing Knowledge Intensive Processes
Author :
França, Juliana B S ; Baião, Fernanda A. ; Santoro, Flavia M.
Author_Institution :
Res. & Practice Group in Inf. Technol. (NP2Tec), Fed. Univ. of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
497
Lastpage :
504
Abstract :
Knowledge Intensive Processes (KIP) focus on the dynamic conversion of knowledge among the participants involved in the execution of a business process, and typically comprises tacit and constantly changing pieces of knowledge supported by CSCW tools. Despite their key role for organizational Knowledge Management, existing methods for Business Processes Modeling do not adequately address the representation of key elements denoting these pieces of knowledge, thus making it hard to come up with a process model through which other participants may understand the knowledge intensive process. This paper proposes a set of properties needed to understand and consequently organize KTPs. The proposed properties are structured into a KIP Ontology, as a first and necessary step of any approach, method or tool for adequately addressing this important class of processes.
Keywords :
corporate modelling; groupware; knowledge management; ontologies (artificial intelligence); organisational aspects; CSCW tools; KIP ontology; business process modeling; dynamic knowledge conversion; knowledge intensive process; organizational knowledge management; Complexity theory; Monitoring; Proposals; Knowledge Intensive Process; Knowledge Intensive Process Ontology; Process Representation; Process design in collaborative environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
Type :
conf
DOI :
10.1109/CSCWD.2012.6221864
Filename :
6221864
Link To Document :
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