Hypermedia retrieval in combination with querying is a verypowerful document access metaphor for digital library systems.Conventional distributed hypermedia systems, however, suffer from somewell-known problems that make effective, goal-directed documentretrieval and maintenance impossible. On the one hand, relationshipsbetween documents are modeled on a very low level of abstraction,preventing knowledge re-use and user-adapted navigation through thedocument space. On the other hand, huge static web structures are proneto redundancies, inconsistencies and costly to maintain. We present anapproach of a scalable distributed resource discovery and deliverysystem that offers access to information through querying andknowledge-based hypermedia browsing. Relationship knowledge ispartitioned into handy, independent structures, modeled on a high levelof abstraction apart from documents. Navigation paths are computed bythe system, combining semantic networks with information retrieval
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