Knowledge Communities:

There are component parts of the information base called
knowledge communities which represent thematic information
clusters.  Information retrieval is most efficient when the
interactive process begins in what the user believes is the most
relevant knowledge community.  By gaining an understanding of the
relationships between component parts of the knowledge base, the
user can discover associative links that expedite access to
particular knowledge communities.

As a user becomes increasingly familiar with a particular subject
area, indexes of the subject language can facilitate the
retrieval of information by permitting the rapid location of
relevant knowledge communities or specific information nodes. 
These indexes of knowledge communities, information nodes, key
words, and text phrases are essential components of effective
hypertext systems.  The ability to access information nodes
directly from the index list environment reflects the successful
assimilation of the language of the knowledge area, and "systems
that provide access to information nodes (knowledge communities)
directly from the language index can reinforce this assimilation
process, and enhance system interaction for all levels of user
expertise" (Larson, 1989). 

<cfile31>   Hypertext Construction
<cfile37>   Iterative Learning
<cfile39>   Theological Expertise