Self-Organising News Management: The Molecules of Knowledge Approach


Stefano Mariani, Andrea Omicini

Jeremy Pitt (eds.)
Self-Adaptive and Self-Organizing Systems Workshops (SASOW), pages 235–240
IEEE Computer Society
2012

Nowadays, news management systems present new critical challenges in the knowledge management process: the ever-increasing amount of information to handle, its heterogeneity in structure, and the pace at which it is made available are just a few to mention. Features such as autonomy and self-organisation are essential to face challenges of such a sort: along this line, in this paper we discuss the application of the Molecules of Knowledge (MoK) model to news management. In particular, we show how to integrate the state-of-art international standards for news representation and dissemination in MoK. To this end, we define the MoK-News domain-specific model, and present our first experiments in self-organising knowledge-oriented coordination for news management.

(keywords) Molecules of Knowledge, biochemical tuple spaces, knowledge management, news management systems, self-organising coordination

Events

  • 6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2012) — 10/09/2012–14/09/2012

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Publication

— authors

— editors

Jeremy Pitt

— status

published

— sort

paper in proceedings

— publication date

2012

— volume

Self-Adaptive and Self-Organizing Systems Workshops (SASOW)

— pages

235–240

URLs

original page  |  original PDF

identifiers

— DOI

10.1109/SASOW.2012.48

— IRIS

11585/152885

— Scopus

2-s2.0-84877284901

— WoS / ISI

000321250200038

— print ISBN

978-1-4673-5153-9

— online ISBN

978-07695-4895-1

notes

— note

2012 IEEE Sixth International Conference (SASOW 2012), Lyon, France, 10-14 September 2012. Proceedings

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