Knowledge-intensive environments provide new critical chal- lenges 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. In this paper we develop on the idea that only autonomous systems can face such challenges: systems where molecules of knowledge are generated in shared spaces, self-aggregate, and autonomously move toward knowledge consumers. Along this line, we propose a novel self-organising knowledge-oriented (SOKO) coordination model based on the biochemical tuple space coordination abstraction. We introduce the basic entities, formally define the computational model, and map it on the TuCSoN coordination model. Then we focus on our case study, that is, news management, showing how to integrate the international standards for news in our computational model, and discussing our first experiences in SOKO coordination for knowledge management.

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

COORDINATION 2012, February 2012.