WordNet: a lexical database for English
Communications of the ACM
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Combining Key-Phrase Detection and Subword-Based Verification for Flexible Speech Understanding
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Topic modeling: beyond bag-of-words
ICML '06 Proceedings of the 23rd international conference on Machine learning
Advanced visualization of self-organizing maps with vector fields
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Context oriented analysis of web 2.0 social network contents-MindMeister use-case
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Advanced visualization techniques for self-organizing maps with graph-based methods
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Linked Widgets: An Approach to Exploit Open Government Data
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Web 2.0 is much more than adding a nice facade to old web applications rather it is a new way of thinking about software architecture of Rich Internet Applications (RIA). In comparison to traditional web applications, the application logic of modern Web 2.0 applications tends to push the interactive user interface tasks to the client side. The client components on the other hand negotiate with remote services that deal with user events. The user should be assisted in different scenarios in order to use the existing platforms, share the resources with other users and improve his security. In this paper we present a user-centered content extraction and classification method based on self-organizing maps (SOM) as well as a prototype for provided content on Web 2.0. The extracted and classified data serves as a basis for above mentioned scenarios.