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Knowledge is modeled in various data representation formats like
semantic network, decision table, decision tree, etc., that attempt
to capture knowledge which human perceives in his natural language.
It is the depiction of knowledge that causes a lot of complexities
in inferring and queering to the inference engine. Frames are the
extension of semantic network in structural form. They have more
expressive power in the context of inferring as they exist in
object oriented form. The novel contributions of the research are
proposed system architecture, proposed transformation algorithm;
and system simulator design. The system performance has been tested
on nine case examples; three each from the small, medium and large
classes. The results were verified qualitatively by three experts
and they have verified that for each case example the number and
names of the nodes/frames is the identical; the number and type of
attributes, methods for each node were identical; and the type of
relationship between any of the two nodes were also identical in
the input and the output. Hence the achieved transformation is
accurate and automatic.
Rules to Success 1.Care About the Process, Not Just the Outcome
2.Talk and Write - A Lot 3.Say "Yes" Easily and Mean It 4.Work with
Others and Share Easily 5.Keep Your Commitments 6.Even Dogs Never
Urinate in Their Own Beds 7.Acknowledge Your Own Power and Behave
Accordingly 88Acknowledge Your Own Finitude and Behave Accordingly
9.Network With Your Betters 10.Guard Your Integrity 11.Follow Your
Bliss "How you say something is as important as what you say"
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