Mining cells of natural language (for semantic ontology)

This is a brief but relevant comment, from my Systems Thinking World discussions, points out a way the efforts by Goggle and others, to mine “meaning” from of the massive quantities of semantic data now available, is missing a golden opportunity. There are a variety of ways to use the natural structures of languages as a key.

@Ferenc – I don’t recall the subject of data mining semantic meaning coming up, but I sure agree there seems no computer search strategy yet in use for that.    I have some original technical ideas of how to do it, but they all begin with  learning to recognize how natural languages “integrate common knowledge” for you, by how language communities naturally develop within their own social commons, (or “silo”).

So the first step to learning how to read the natural organization of semantic structures generally is to learn how recognize and observe the development of natural languages and the semantic webs they create.   This STW community is one, for example, as is any other community with a sustained internal conversation.

Armed with that, perhaps a computer whiz could learn to crawl the web to develop a lexicon of the code phrases of a great variety of distinctive language communities.  That could provide a way to let you search on any topic of your interest, for any language group’s interest in it.

I’ve tried to suggest that to Google a few times, to let people do web searches from a “scientific” viewpoint, or “entertainment” or “youth” or “religious”, “liberal”, “conservative”, “European”, “Asian” or other distinctive community of interest.

Wouldn’t having that option, to look in on other language cultures and learn from what they’re learning from, would be very entertaining and enlightening itself, wouldn’t it?



The physics of HappeningStatistical Methods


Telling the whole stories of how things change

A crowd sourcing proposal.   Suggested to WNYC as a new form of news coverage


From a natural history view, how the US news media reports on what’s happening of public importance is, well, entertainment news, that misses most of what’s actually happening and how it’s connected.  Even Public Radio mostly giving us six shows a day of talk about all the same things that “everyone” is talking about.  It tracks how the discussion is changing, but misses almost entirely how the world itself keeps complexly and dramatically changing by itself.

Germination and Nurture
Telling the Whole Story

Continue reading Telling the whole stories of how things change

Natural Whole Systems Thinking – philosophy & method on STW

To open a LinkedIn community discussion in “Systems Thinking World”, on the “whole systems approach” and scientific method I use, for discovering and understanding natural systems, I offered the following lead-in

Related theory pages:  1 Natural Pattern Languages,  2 ‘Big Data’ and the right to human understanding,  3 Global accounting of responsibilities for economic impacts,  4 Missing Principles of Ecological Thinking – in plans for the Earth,  5 Steering for the organizational Lagrange Point,  6 “The next big challenge” a biomimicry for a self-regulating financial commons,  7 General intro: Natural Systems & Synapse9,  8 Archive of early data analysis studies.  9 & other theory posts


Could we study systems that invent their own theories?

We might study anything identifiable, and growth curves in time­-series data seem associated with some kind of growing system, developing from scratch. The usual difficulty discovering what’s going on inside them may be strong evidence that they’re organized and changing internally, not visible to or determined by their environments. If such individual systems exist, would they also have locations, external bounds of some kind, a beginning in time and an end?




#1Jessie Henshaw • There are a few problems I’m trying to raise with this. One is the scientific difficulty of studying things you can point to, but can’t actually define. Science does better with “data” and numerical relationships, studying that as a ‘map’ for a more complex ‘territory’. Organizational change within individual natural systems isn’t readily mapped by “data”, though.

Is that one of the reasons there appear to be so many kinds of individual events and natural systems that display periods of essentially explosive creative organizational development, from storms to personal relationships, to social movements, disease outbreaks and swarms of new technologies, but science seems not to have yet identified that as a field of study?

12 days ago

#2 • Fabian Szulanski • What about agent based modeling? Would that be a point of departure for helping understand? Then some emergence, bifurcation and disorder could eventually appear.

12 days ago

#3 • Jessie Henshaw • @Fabian ­Well, that would be studying models for mathematical rules, not natural systems, wouldn’t it? To study natural physical systems, as if they were ABM’s, is more like what I’m suggesting.

Say you assume the natural world is like the big amazing computer the physicists postulate it actually is. Well then, we’re looking right at nature’s ABM without realizing it, and just need to discover it’s way of inventing things. We don’t have access to a “de­compiler” of nature’s source code, though, do we? What we see are systems that evolve new organization by changing everywhere at once, somehow. It makes it appear that nature is doing fresh programming, on many levels at once, with nearly every process and event she creates. Continue reading Natural Whole Systems Thinking – philosophy & method on STW