Document Type
Thesis
Date of Award
12-31-1991
Degree Name
Master of Science in Computer Science - (M.S.)
Department
Computer and Information Science
First Advisor
Yehoshua Perl
Abstract
Object-oriented approaches to the design of complex graphical interfaces have received an enormous impetus in the database and knowledge representation disciplines. As traditional CAD systems store information about all the objects for display purposes but do not store any knowledge for reasoning purposes, they are considered as "knowledge poor" and they cannot support efficient environments for design. In Artificial Intelligence the notion of "Graphical Deep Knowledge" has been proved successful to represent knowledge about objects for display purposes as well as reasoning purposes. To design "knowledge rich" systems which can support better graphical interfaces, the theory of "Graphical Deep Knowledge" in the object-oriented database system VML is introduced. It will be shown that the theory of "Graphical Deep Knowledge" can improve graphical interface design and functions as a flexible, and knowledgeable tool for design processes . The presented theory has been implemented as a program called AKROOTIS for logical circuit board design.
Recommended Citation
Venkatesh, Prasanna S., "Representation of graphical deep knowledge in an object-oriented database system" (1991). Theses. 2642.
https://digitalcommons.njit.edu/theses/2642
