The linking of knowledge bases in the context of representation of human knowledge states
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THE LINKING OF KNOWLEDGE BASES IN THE
CONTEXT OF HUMAN KNOWLEDGE STATES
Faleh H. Alkaisi
The aim of the investigation described here is to contribute
to the development of ideas underlying interactions between
complex knowledge bases and interactions between human beings
and complex knowledge bases.
The primary aim is to test the hypothesis that interaction
between knowledge bases with similar structural schemas can be
managed by simple mechanisms.
Mathematics and Computer Science knowledge have been selected
as representative examples of complex knowledge systems. An
"Expert - Non-Expert" model simulating the teaching and
learning of Mathematics and Computer Science is used to
characterise the nature of an interaction process between
structures representing the knowledge of the expert
(i.e the teacher) and the non-expert (i.e the student).
The main steps of the investigation were: Firstly, the
literature related to knowledge representation and knowledge
based systems using interaction mechanisms was studied.
Secondly, the "Expert - Non-Expert" model was used as the
basis for specification of a general interaction mechanism.
Thirdly, specification of knowledge representation and an
interaction mechanism were demonstrated in a prototype system.
Finally, the prototype system was evaluated. This was achieved
by, comparing and contrasting the expected objectives from
using the system with the actual achievements, comparing and
contrasting the system with other knowledge based systems, and
elaborating comments and suggestions made by other users of the
system.
The investigation has produced a mechanism for interaction
between knowledge bases with similar structural schemas in the
context of teaching students. The research has also led to the
production of a demonstrator system for managing the
interaction mechanism and the knowledge bases, and has outlined
ideas for the future implemention of a knowledge based system
with geometrical knowledge representation.
The overall study has produced a suitable method of
interaction between knowledge bases. The study also suggests
possiblities for structuring knowledge for the development of
intelligent knowledge acquisition and expert systems.
CONTEXT OF HUMAN KNOWLEDGE STATES
Faleh H. Alkaisi
The aim of the investigation described here is to contribute
to the development of ideas underlying interactions between
complex knowledge bases and interactions between human beings
and complex knowledge bases.
The primary aim is to test the hypothesis that interaction
between knowledge bases with similar structural schemas can be
managed by simple mechanisms.
Mathematics and Computer Science knowledge have been selected
as representative examples of complex knowledge systems. An
"Expert - Non-Expert" model simulating the teaching and
learning of Mathematics and Computer Science is used to
characterise the nature of an interaction process between
structures representing the knowledge of the expert
(i.e the teacher) and the non-expert (i.e the student).
The main steps of the investigation were: Firstly, the
literature related to knowledge representation and knowledge
based systems using interaction mechanisms was studied.
Secondly, the "Expert - Non-Expert" model was used as the
basis for specification of a general interaction mechanism.
Thirdly, specification of knowledge representation and an
interaction mechanism were demonstrated in a prototype system.
Finally, the prototype system was evaluated. This was achieved
by, comparing and contrasting the expected objectives from
using the system with the actual achievements, comparing and
contrasting the system with other knowledge based systems, and
elaborating comments and suggestions made by other users of the
system.
The investigation has produced a mechanism for interaction
between knowledge bases with similar structural schemas in the
context of teaching students. The research has also led to the
production of a demonstrator system for managing the
interaction mechanism and the knowledge bases, and has outlined
ideas for the future implemention of a knowledge based system
with geometrical knowledge representation.
The overall study has produced a suitable method of
interaction between knowledge bases. The study also suggests
possiblities for structuring knowledge for the development of
intelligent knowledge acquisition and expert systems.
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