Reasoning and revision in hybrid representation systems
Reasoning and revision in hybrid representation systems
Scatter/Gather: a cluster-based approach to browsing large document collections
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
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Information Retrieval
FAQ finder: a case-based approach to knowledge navigation
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Generalizing term subsumption languages to fuzzy logic
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
A nonlinear projection method based on Kohonen's topology preserving maps
IEEE Transactions on Neural Networks
The use of metadata in visual interfaces to digital libraries
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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Digital libraries offer a vast source of very different information. To enable users to fruitfully browse through a collection of documents without necessarily having to state a complex query, advanced retrieval techniques have to be developed. Those methods have to be able to structure information in a semantic manner. This work presents some first steps in semantically organizing thematically pre-selected documents of a digital library. The semantic structure of the document collection will be expressively visualized by the proposed system. We illustrate our ideas using a database of medical abstracts from the field of oncology as a walking example.