PicSOM—content-based image retrieval with self-organizing maps
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Self-Organizing Maps
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
The SOMLib Digital Library System
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Automatically Analyzing and Organizing Music Archives
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Newsmap: a knowledge map for online news
Decision Support Systems - Special issue: Collaborative work and knowledge management
Adding SOMLib capabilities to the greenstone digital library system
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Self organization of a massive document collection
IEEE Transactions on Neural Networks
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The Self-Organising Map (SOM) has been proposed as an interface for exploring Digital Libraries, in addition to conventional search and browsing. With advanced visualisations uncovering the contents and its structure, and advanced interaction modes as zooming, panning and area selection, the SOM becomes a feasible alternative to classical interfaces. However, there are still shortcomings in helping the user to understand the map - there are insufficient methods developed for describing the map to support the user in the analysis of the map contents. In this paper, we present recent work in assisting the user in exploring the map by automatically describing maps using advanced labelling and summarisation of map regions.