Know-Admin: Modelling and Administration of Knowledge Domains
Especially the design of semantic applications and systems is focused
on content, context and concepts - and this in contrary to pure content management solutions - and
not on words or keywords. Context awareness - context sensitivity - context
relation and similarity - are the main characteristics of such a semantic
oriented resp. based system.
This systems are based on the open definition of models of knowledge: "knowledge domains",
"dynamic knowledge trees", - and nowerdays: "ontologies".
Aspasia provides and offers environments and systems based on dynamic knowledge trees
embedded in ontology environments. The "Know-Admin" allows
to create, maintain and modify these trees representing arbitrary knowledge domains.
It is oriented on W3C standards and offers several export and coupling interfaces
to the main ontology representation languages (DAML, DAML-S, DAML+OIL).
For stable and transparent generation of conceptually concise bases
of knowledge reflecting different purposes and application fields
this Know-Admin is useful and applicable for. As a comfortable tool it enables creating, browsing,
and modifying knowledge domains and is in this sense a support tool for the launching,
refinement, evaluation and maintenance of the knowledge processing cycle.
Fig. 1: Knowledge Tree
Oriented on software engineering rules the Know-Admin enables the development
of knowledge domains and pools in a three stage cycle: specification of requirements, comprehensive
tuning and validation and, practical application evaluation.
Know-Admin as a knowledge domain (ontology) engineering tool provides accordingly support
within the whole cycle (Interactive Editing, Recommender Based Instructions,
Graphical Visualization etc.).
Integrated inferencing algorithms and procedures evaluate the degree of validity
and support the user in determining the correctness of complex object relations (i.e. visualization
of inferencing results etc.)
Fig. 2: Net of Knowledge Trees
- Use of Meta Data Information Schemes -
The processed knowledge (domain) objects (general objects, scripts, textual objects,
executable programs, program sources, method descriptions, data collections etc.) are represented
by meta-data-information and description schemes and maintained and handled as meta data
information objects within the knowledge representation layer and segment.
The Know-Admin allows the user to
determine or create his own and individually adapted Meta Data Description, which is used in the
following domain structuring process.
