Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Automatic text processing
A comparison between free language and controlled language indexing and searching
Information Services and Use
Methodologies for subject analyses in bibliographic databases
Information Processing and Management: an International Journal
A user-centred evaluation of ranking algorithms for interactive query expansion
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Unraveling the semantics of conceptual schemas
Communications of the ACM
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Thesaurus construction: problems and their roots
Information Processing and Management: an International Journal
Lexical navigation: visually prompted query expansion and refinement
DL '97 Proceedings of the second ACM international conference on Digital libraries
Query-based navigation in semantically indexed hypermedia
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Knowledge-Based Approaches to Query Expansion in Information Retrieval
AI '96 Proceedings of the 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
The Meta-Information Environment of Digital Libraries
The Meta-Information Environment of Digital Libraries
Scalable Information Elicitation in Large Heterogeneous Database Networks
Scalable Information Elicitation in Large Heterogeneous Database Networks
Efficient Web Access to Distributed Biological Collections Using a Taxonomy Browser
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
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Formulating precise and effective queries in document retrieval systems requires the users to predict which terms appear in documents relevant to their information needs. It is important that users do not retrieve a plethora of irrelevant documents due to underspecified queries or queries containing ambiguous search terms. Due to these reasons, networked digital libraries with rapid growth in their volume of documents, document diversity, and terminological variations are becoming increasingly difficult to manage. In this paper we consider the concept of knowledge navigation for federated digital libraries and explain how it can provide the kind of intermediary expert prompting required to enable purposeful searching and effective discovery of documents.