Multimedia information is now routinely available in the forms of text,
pictures, animation and sound. Although text objects are relatively easy
to deal with (in terms of information search and retrieval), other
information bearing objects (such as sound, images, animation) are more
difficult to index. Our research is aimed at developing better ways of
representing multimedia objects by using a conceptual representation
based on Schank's conceptual dependencies. Moreover, the representation
allows for users' individual interpretations to be embedded in the
system. This will alleviate the problems associated with traditional
semantic networks by allowing for coexistence of multiple views of the
same information. The viability of the approach is tested, and the
preliminary results reported.