%0 Journal Article %1 andrews98 %A Andrews, Keith %D 1998 %J IEEE Computer Graphics and Applications %K hypermedia information visualization %N 4 %P 40--42 %T Visualizing Rich, Structured Hypermedia %U http://www.cs.toronto.edu/~nernst/papers/andrews-vis-hypermedia.pdf %V 18 %X Very large hypermedia collections, say many thousands of documents and links, are often unmanageable. Users can have considerable difficulty finding particular information and comprehending its extent and scope. Support for explicit hierarchical structure of the collection, such as the Yahoo classification scheme, helps users by suggesting specific paths through the information space. Such hierarchical structure can also be visualized, either independently from, or in association with, the associative hyperlinks between individual documents. Furthermore, the availability of rich metadata fields for collections and individual documents, including attributes such as author, title, size, keywords, and creation date, permits enhancing visualizations by mapping attribute values to aspects of the visual presentation. The author discusses visualization techniques that were developed for the Hyperwave information server

@article{andrews98, abstract = {Very large hypermedia collections, say many thousands of documents and links, are often unmanageable. Users can have considerable difficulty finding particular information and comprehending its extent and scope. Support for explicit hierarchical structure of the collection, such as the Yahoo classification scheme, helps users by suggesting specific paths through the information space. Such hierarchical structure can also be visualized, either independently from, or in association with, the associative hyperlinks between individual documents. Furthermore, the availability of rich metadata fields for collections and individual documents, including attributes such as author, title, size, keywords, and creation date, permits enhancing visualizations by mapping attribute values to aspects of the visual presentation. The author discusses visualization techniques that were developed for the Hyperwave information server}, added-at = {2006-03-24T16:34:33.000+0100}, author = {Andrews, Keith}, biburl = {https://www.bibsonomy.org/bibtex/2e2fdc0b6e98a03a24a5b0e5cab53eaec/neilernst}, citeulike-article-id = {111736}, comment = {3d landscape viewer showing the collection of hypermedia documents accessible -information pyramids use nesting and 3d to indicate membership - no proof that large datasets will work}, description = {sdasda}, interhash = {e3cce57f664a404c4e34b69aa4bad03c}, intrahash = {e2fdc0b6e98a03a24a5b0e5cab53eaec}, journal = {IEEE Computer Graphics and Applications}, keywords = {hypermedia information visualization}, number = 4, pages = {40--42}, pdf = {andrews-vis-hypermedia.pdf}, priority = {0}, timestamp = {2006-03-24T16:34:33.000+0100}, title = {Visualizing {R}ich, {S}tructured {H}ypermedia}, url = {http://www.cs.toronto.edu/~nernst/papers/andrews-vis-hypermedia.pdf}, volume = 18, year = 1998 }