Stefano Mariani, Andrea Omicini  

To face the challenges of knowledge-intensive environments, we investigate a novel self-organising knowledge-oriented (SOKO) model, called Molecules of Knowledge (MoK for short). In MoK, knowledge atoms are generated by knowledge sources in shared spaces — compartments —, self-aggregate to shape knowledge molecules, and autonomously move toward knowledge consumers.

(keywords) Self-organising coordination, Knowledge management, Biochemical tuple spaces, News management systems

Proceedings of the Doctoral Consortium of the 12th Symposium of the Italian Association for Artificial Intelligence, CEUR Workshop Proceedings 926, pages 23-27, 15 June 2012.
Paolo Liberatore, Michele Lombardi, Floriano Scioscia (eds.), Sun SITE Central Europe, RWTH Aachen University, Rome, Italy.

@inproceedings{mok-dcaiia2012,
Address = {Rome, Italy},
Author = {Mariani, Stefano and Omicini, Andrea},
Booktitle = {Proceedings of the Doctoral Consortium of the 12th Symposium of the Italian Association for Artificial Intelligence},
Editor = {Liberatore, Paolo and Lombardi, Michele and Scioscia, Floriano},
  Issn = {1613-0073},
Keywords = {Self-organising coordination, Knowledge management, Biochemical tuple spaces, News management systems},
Month = {15~} # jun,
Organization = {AI*IA},
Pages = {23--27},
Publisher = {Sun SITE Central Europe, RWTH Aachen University},
Series = {CEUR Workshop Proceedings},
ScopusId = {2-s2.0-84891823324},
Title = {{M}olecules of {K}nowledge: A Novel Perspective over Knowledge Management},
Url-Pdf = {http://ceur-ws.org/Vol-926/paper5.pdf},
Volume = 926,
Year = 2012}

    

Publication

Molecules of Knowledge: A Novel Perspective over Knowledge Management

— status

published  

— authors

Stefano Mariani, Andrea Omicini

Context

— journal/series
CEUR-WS.org

URLs & IDs

original PDF

— IRIS

11585/125758

— Scopus

2-s2.0-84891823324

— print ISSN

1613-0073

BibTeX

— BibTeX ID
mok-dcaiia2012
— BibTeX category
inproceedings

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