Convergence of Hypertext and Information Retrieval
The conventional boundaries separating hypermedia from related disciplines are dissolving to yield a confluence of hypermedia, information retrieval, and multimedia database technologies. Traditionally, query-based retrieval methods have been considered a very different kind of interaction to the browsing commonly associated with hypertext or hypermedia. Queries require prior planning and a more analytical approach with greater cognitive overheads.
Recent research in information retrieval (IR) has endeavored
to break down this barrier and build hypertext interfaces to IR systems.
Many hypertext-IR retrieval systems have been based on statistical analysis
of terms automatically extracted from free text, [Allan96,
Dunlop93]; the index space is automatically
created and ‘vector space’ similarity coefficients measure
degrees of match between queries and media items, or between two media
items. A different approach to IR is based on (usually) manually created
index spaces, where semantic relationships exist between index terms [Rada93].