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1	1	>What is {{mok/}}
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3	3	{{mok short="false"/}} ({{mok/}} for short) is a model for //knowledge self-organisation//, conceived to pursue two main goals:
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4	4	* //autonomously aggregate// data to build more "complex" heaps of information — possibly conveying novel knowledge previously unknown or hidden
5	5	* //autonomously spread// such information toward potentially interested knowledge prosumers — rather than be searched proactively
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9	9	>How {{mok/}} works
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11	11	In order to do so, {{mok/}} is designed around three main sources of inspiration:
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12	12	* //biochemistry//, providing metaphors for its basic abstractions
13	13	* //biochemical coordination//, as its computational and coordination model
14	14	* //behavioral implicit communication//, driving knowledge evolution
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32	32	//Knowledge-intensive environments// and //socio-technical systems// are systems combining business processes, technologies and people's skills to store, handle, make accessible – in one word, manage – very large repositories of information—e.g. wiki portals, online press, enterprise social networks, etc.
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34	34	They pose peculiar challenges from the infrastructural standpoint:
35		- * data size—from GBs to TBs
36		- * scale—from organization-wide to world-wide
37		- * dynamism—new information produced/consumed at fast pace — e.g. tweets
38		- * diversity—both in information representation and usage destination openness — new users can enter/leave the system at any time
39		- * unpredictability—since they involve humans, whose behaviour is rarely fully predictable
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	38	+* data size—from GBs to TBs
	39	+* scale—from organization-wide to world-wide
	40	+* dynamism—new information produced/consumed at fast pace — e.g. tweets
	41	+* diversity—both in information representation and usage destination openness — new users can enter/leave the system at any time
	42	+* unpredictability—since they involve humans, whose behaviour is rarely fully predictable
	43	+
41	41	These challenges are usually faced using //brute force// approaches relying on ever-increasing (hopefully, endless) computational power and (ii) storage— "big data" techniques, non-relational large-scale DBs, "data-in-the-cloud" paradigm, other buzzwords.
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43	43	//This won't scale forever//—e.g. what about the end of Moore's law?
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46	46
47	47	This is where {{mok short="false"/}} comes in =)
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49		-{{include reference="MacroSheet"/}}
50		-
	52	+{{include reference="Environment"/}}