Classifications and Aggregation of Traces

Jason Xinghang Dai (), Nada Matta () and Guillaume Ducellier ()
Additional contact information
Jason Xinghang Dai: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Nada Matta: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Guillaume Ducellier: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: The main goal of knowledge management is to promote learning from the past in an organization. Conceptual graphs use logic representation in order to allow reasoning among concepts. Currently, several works in knowledge engineering develop language as a resource description framework (RDF) and OWL in order to represent ontology in a computable form and to allow for reasoning. This chapter deals with the dynamic world, especially with cooperative processes and activities. So, the concepts are perduring concepts. In the chapter, a cooperative knowledge discovery (CKD) framework is proposed in order to obtain knowledge from traces of cooperative activities. Semantic network is used to represent knowledge structures and generic cooperative knowledge ontology is defined. CKD is based on heuristic classification and knowledge discovery principles. In addition, CKD makes explicit knowledge from cooperative activity by considering the following two aspects: knowledge representation and knowledge capturing.

Keywords: cooperative knowledge; knowledge management; resource description framework; semantic network; discovery framework (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Published in Daily Knowledge Valuation in Organizations: Traceability and Capitalization, 2016, ⟨10.1002/9781119292142.ch4⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02878731

DOI: 10.1002/9781119292142.ch4

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().