The paradigm of Multilayered Extended Semantic Networks (MultiNet) is one
of the most thoroughly described knowledge representantion systems along
the line of semantic networks (Quillian 1968).
The conceptual representation of MultiNet is characterized by
embedding its nodes into a multidimensional space of layer attributes.
These layer attributes and their values play an important part during the
syntactico-semantic analysis of natural language texts and during the
inferential answer finding in question answering systems.
The paper demonstrates the automatic generation of complex layer information
for conceptual nodes and their use in the phase of assimilation of knowledge
pieces into a larger knowledge base.