Discussion of hypermedia systems focuses on a comparison of two types of adaptive algorithm (genetic algorithm and neural network) in clustering hypermedia documents. These clusters allow the user to index into the nodes to find needed information more quickly, since clustering is "personalized" based on the user's paths rather than…

Describes a project at the University of Sheffield that is investigating the use of nearest-neighbor retrieval algorithms for full-text searching. Nearest-neighbor searching is compared with Boolean retrieval and hypertext, and an experimental text retrieval system called INSTRUCT (Interactive System for Teaching Retrieval Using Computational…

The report describes improved algorithms within a computer program for identifying spelling and word order errors in student responses. A "markup analysis" compares a student's response string to an author-specified model string and generates a graphical error markup that indicates spelling, capitalization, and accent errors, extra or…