| Summary: | 碩士 === 元智大學 === 實業計劃研究所工學組 === 81 === Hypertext is becoming a popular approach to many computer
applications, especially those dealing with the on-line
presentation of large amounts of loosely structured
information such as on-line documentation. In general,
hypertext uses node/link model to provide cross-reference
between related information. When readers navigate in the
hypertext network they often have "lost in hyperspace" and
"cognitive overhead" problems, thus they cannot understand
where to go, where come from, where can get the information
they need. Current hypertext system pose various strategies
to resolve above problems, but they often ignore the reader's
mental model, so that the browser tool cannot match the
requirement of different users. The thesis present the graph
model to model the hypertext information space, hypergraph
to model the relationships between nodes and classes(sets)
and EER model to describe the relationships(semantics) between
classes. As for the external presentation of information space
we use the table and graph to present it. Also from cognitive
science we understand that Hypertext usage depends on what
mental models users have for system so we develop
necessary model operators for readers' to determine the
information scope they need and to establish a personal
browser for further using. Finally, we choose a application
area(news browsing system) to develop a prototype to verify our
theory.
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