A self-organizing semantic map for information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Bead: explorations in information visualization
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A relevance terminological logic for information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Self-organizing maps
A Virtual Environment for Multimedia Intelligence Data Analysis
IEEE Computer Graphics and Applications
Automatically Structuring Textual Requirement Scenarios
ASE '99 Proceedings of the 14th IEEE international conference on Automated software engineering
Visualizing the non-visual: spatial analysis and interaction with information from text documents
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Benefits of document maps for text access in knowledge management: a comparative study
Proceedings of the 2002 ACM symposium on Applied computing
SWAPit: a multiple views paradigm for exploring associations of texts and structured data
Proceedings of the working conference on Advanced visual interfaces
Analysis of Components for Generalization using Multidimensional Scaling
Fundamenta Informaticae
Analysis of Components for Generalization using Multidimensional Scaling
Fundamenta Informaticae
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The identification and analysis of an enterprise's knowledge available in a documented form is a key element of knowledge management. Visual methods which allow easy access to a document collection's contents are an enabling technology. However, no single information retrieval technique is likely to adequately deal with such tasks independent of the specific situation. In this paper, we therefore present a visualization technique based on a modular approach that allows a variety of techniques from semantic document analysis to be used in the visualization of the structure of technical document collections.