Selective filtering for customized hypermedia documents
Haitian Yan, Queen's University , Canada
Queen's University . Awarded
Nowadays, the development of hypermedia technology creates a number of new and exciting opportunities for teaching and learning at universities. Research on hypermedia-based education includes higher level structures for hypertext, automating links, and on-site education technology transformed for distributed environments. In this thesis, we present the idea of using controlled filters with the World Wide Web. These filters run independently between the web browser and the web server, and operate on the data transmitted between them. The application of filters on the web moves one step beyond the conventional point-to-point communications and provides great flexibility to the web system. We specifically talk about dynamically serving hypermedia documents by selective filtering, which permits users to view the hypermedia documents at different levels/styles suiting their own needs.
As an example, a two-filter system is developed in Java. In these two filters, the selective filter uses a linear priority set to describe the multiple presentation levels of a particular set of hypermedia materials, responding to varying student learning levels/styles. It offers the user a choice among the alternate paths through a large set of learning materials, and enables the user to adjust her view on the fly. As well, it reduces the large workload of the author for constructing and maintaining multiple copies on the same subject for this purpose.
Yan, H. Selective filtering for customized hypermedia documents. Master's thesis, Queen's University.
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