Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Self-organizing maps
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Domain visualization using VxInsight for science and technology management
Journal of the American Society for Information Science and Technology
Visualization of Massive Retrieved Newsfeeds in Interactive 3D
IV '99 Proceedings of the 1999 International Conference on Information Visualisation
Periscope: a system for adaptive 3D visualization of search results
Proceedings of the ninth international conference on 3D Web technology
Meaning Metaphor for Visualizing Search Results
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Mapping regulations to industry-specific taxonomies
Proceedings of the 11th international conference on Artificial intelligence and law
Relating taxonomies with regulations
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Regulation retrieval using industry specific taxonomies
Artificial Intelligence and Law
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of Graphics Interface 2010
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While searching the web, the user is often confronted by a great number of results, generally displayed in a list which is sorted according to the relevance of the results. Facing the limits of this approach, we propose to explore new organizations and presentations of search results, as well as new types of interactions with the results to make their exploration more intuitive and efficient. The main topic of this paper is the processing of the results coming from an information retrieval system. Although the relevance depends on the results quality, the effectiveness of the results processing represents an alternative way to improve the relevance for the user. Given the current expectations, this processing is composed by an organization step and a visualization step. Then the proposed approach organizes the results according to their meaning using a Kohonen Self-Organizing Map (SOM), and visualizes them in a 3D scene to increase the representation space. The 3D metaphor proposed here is a city.