A SOM-Based Technique for a User-Centric Content Extraction and Classification of Web 2.0 with a Special Consideration of Security Aspects

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.

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