The fundamental goal of
Knowledge Representation is to facilitate inferencing (conclusions) from
knowledge. The issues that arise while using
KR techniques are many. Some of these are explained below.
· Important
Attributes : Any attribute of
objects so basic that they occur in almost every problem domain ?
·
Relationship
among attributes: Any important
relationship that exists among object attributes ?
· Choosing
Granularity : At what level of detail
should the knowledge be represented ?
·
Set of objects :
How sets of objects be represented ?
· Finding
Right structure : Given a large amount of
knowledge stored, how can relevant parts be accessed ?
