The name is absent

Figure 1: A diagram representing the architecture of GNOWSYS.

unsharable. The objective of matching and mismatching of concept graphs
of two or more agents could not be achieved without a sharable encod-
ing. While designing GNOWSYS these problems were kept in mind, so the
graphs generated by various applications could be shared and published by
the system through XML based representations schemes.

The architecture of GNOWSYS[7] is structured to accommodate differ-
ent dimensions of KR such as—generality, semantics, complexity, inference
as shown in figure 1.

Generality dimension: We come across a wide variety of concepts in our
discourse either in the form of particulars or generals, and even those
concepts which belong to higher levels of abstraction. These con-
cepts need to be organized based on their order of generality. In
GNOWSYS, three different levels of generality, such as tokens (for
particulars), types (for generals), and metatypes (for types of types),
are possible.

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