White paper: General TOGA-based top-down perspective on knowledge structure, Adam Maria Gadomski, ENEA. Page since 2001: http://erg4146.casaccia.enea.it/K-struct.htm |
|||
|
Knowledge: is a complex abstract object, it is an active (but not self-active) object which enables to transform information in other information (TOGA - Top-down Object-based Goal-oriented Approach)). Every knowledge has its own reference domain which has to be a domain of activity of an abstract intelligent agent. In this sense, the concept knowledge has relative meaning. For example, every conceptual model is a knowledge if it represents some interrelations between the components of a domain of activity of an intelligent agent/entity (TOGA meta-theory). - In the subject matter literature, the knowledge definition is not sufficiently clear but it is considered as something more complicated than information (most frequently, it is defined as a mixture of "facts" and "rules"), or as an information. Structure (a systemic def.): property of every system, it is a relations network between components, and is considered as quasi/semi invariant (by its observer/user). In TOGA, knowledge has the basic structure of a graph and is canonically representable in TAO (TOGA's Theory of Abstract Objects) as a world /system of objects ( knowledge objects). In the case of complex objects, dependently on identification constrains (Ic), such as : - goal of identification, the same object (here, knowledge) can be described by different structures (by graphs).
- Generic identification constrains (Ic) are explained and defined more precisely in frame of the TOGA meta-ontology (KNOCS sub-theory). In KNOCS the concepts: information, knowledge and preferences are well separated, then, in consequence, object-based knowledge structure conceptualization should enable to define a certain set of Operations on Knowledge. We may think about a
Knowledge Algebra: (Kset,oK),
where:
We may notice, that, at present, any knowledge conceptualizations and knowledge meta-ontologies do not enable yet to develope a formal algebra of knowledge
From the perspective of the development of
knowledge and meta-knowledge engineering, as
well as, from the perspectives of
- Therefore, the works on this subject are in progress. In the subject matter literature we distinguish the following main, more or less specialized, (symbolic) knowledge structures (see Web):: - associative mapsAs knowledge exists only as a property of physical objects/systems then it can be either their active or passive property. It can be either buildin as an abstract system/property represented on
a "subsymbolic level" or explicitly coded on a "symbolic
level" of the knowledge representation.
Illustrative top-(meta-) information related to the current state of the concept : knowledge structure.
Feb.
17, 2006: 161 000 docs (this page 5th) "algebra of knowledge" Feb. 17, 2006: 32 docs " meta- knowledge ontology" Feb. 17, 2006: 13 docs " meta-ontology of knowledge" Feb. 17, 2006: 00 docs . See also: - Scalable Knowledge Composition (SKC): Proposal, Gio Wiederhold, Computer Science Department, Stanford University - Wikipedia The Free Encyclopedia : meta-knowledge
|
|||
|
[Meta-Knowledge Engineering & Management Server: go back].
Adam Maria Gadomski |