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Subject: [topicmaps-comment] on occurrence


this message is also posted at:
 
http://www.ontologystream.com/administration/occurance.htm
 
 
***
 
Ray (Bradley) - in eventChemistry
 
Occurrence is an important concept to many - including the topic maps community.  It is a way of asking where does this abstract notion become reified?  In topic maps the "occurrence" can be something in the computer, like a file, or it can be outside of the computer, like me. 
 
I must say here that the topic maps paradigm has not yet quite developed the agile-enough standard so that general knowledge is being "encoded", not if we mean by "knowledge" as most cognitive scientists mean.   If fact, it does seem improper to say that knowledge can exist "in" a computer.  
 
Information may be the organization of data, and data may be occurrences of a specific type.
 
http://www.bcngroup.org/admin/TelArt/paradigm.htm
 
... And there is an epistemic gap between the perception of information (by a living system) and the experience of knowledge.
 
So the question of even the possibility of a standard for "knowledge representation" can be easily (and justifiably) re-visited from time to time...  (Topic maps is clearly a front runner, in my opinion; as is Ballard's system).
 
But this is an issue of how we wish to use our language, is it not?
 
Dick Ballard has a notion of encoding knowledge, and often I am at a loss to express my reservation about the notion of "encoding".  But Dick, I think, knows that he is talking about encoding information structures, not knowledge encoding. 
 
On the other hand, if an encoded something-or-other is the primary trigger for an experience of knowledge, then perhaps topic maps and Ballard's Mark 3 system, and the Cyc system are "knowledge encoders".  But what about Stanford's Protégée, used primarily as a mdeical ontology.  Who knows?  What are the limitations of these knowledge encodings?  How might they be of value to society? 
 
I am interested in the topic maps' community viewpoints on this issues...  if they are interested in coming at the issue again.
 
What we seem to be able to do is to encode abstractions that are understood by humans in some predicable fashion, and that have some correspondence to some set of "occurrences".  The occurances may seem to have (or to actually have) associations and properties. 
 
In your recent post to the eventChemistry forum
 
http://groups.yahoo.com/group/eventChemistry/message/153
 
your said:
 
"To the degree that this holographic-like organization of information/communication processing is a general feature of interaction ALL in social settings, then the principles of communication that Karl (Pribram) and I formulate in our "Communication and Stability in Social Collectives" article should provide the theoretical basis for understanding, and therefore modeling, interaction among terrorist groups and networks and interaction among hackers."
 
The argument that hypothesis are verified is not always straight forward...  as this gets us to the notion of what is science.  Hypothesis about holographic-like organizations of information/communication processes is more difficult to make science out of that is one of the equations from Newton's work.   The reason may be due to the stratified nature of  the experience of knowledge by an individual, and of the sharing of knowledge in communities of practice. 
 
In a stratified science, the notion of evidence has to be de-constructed and re-constructed.  I am not at all sure how this will work out.  But I do suspect that the problem of reification, as discussed within the topic maps community, must address the concept of truthfulness or fidelity of an abstraction (such as a topic) to something.  A pattern of events occurring in the computer, for example, might be a topic; the occurrence of which is not be in the computer because the pattern is only recognized as a pattern through the perception of an individual.  The pattern might even be a statistical artifact, or an artifact produced via a stochastic process (such as scatter-gather methods in text understanding).  So (oddly enough) this "topic" has an occurrence that is
 
1) not in the computer
and
2) not in the real world either
 
In the incident detection problem, the patterns of greatest importance are those that trigger in the mind of an expert the sense that something might be going on.  A process of investigation must then follow this.  The perceived pattern can not be said to exist except as a perception.  Pribram and I have have recent discussion about this that involved the literature from
 
For example, given that somehow the powers that be allow us to work on an event detection system and we wish to "detect" the events being generated by terrorist in the Internet (using common hacker tools).  We need to be able to build patterns from the abstraction produced by categorization of occurrences (the being together of many instances of occurrence into an abstraction that in some way accounts for any of the occurrences in the abstract.)
 
But the evidence that you put forward in your book is that social organization can be mirrored in some ways by taking a number of occurrences of a question about the relationship between pairs of individuals and from the total information of this type to construct a diagram.  The diagrams so constructed can be be characterized as having significance  on issues such a the stability of the group. 
 
A non-local distribution of the structure of the community that you model is represented as a graph.  Yes? 
 
There are differences and similarities between the question gathering process and the consequence representation of results in the graph.
 
 


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