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Information Retrieval Data Mining

The objective of knowledge resp. information retrieval is to enable users to find knowledge in complex situations and numerous knowledge entities in a highly efficient way. The contextuality of knowledge retrieval processes accomplish knowledge domains identified as applicable and useful. Foreground focus is set to comprehensive context awareness and associative coupling - a base condition for generating creative visualization of such knowledge domains.
Intelligent retrieval and adaptable visualization frameworks are provided which are supported by task oriented human computer interfaces. High-level abstractions are aiding users in formulating their complex queries and requests without neglecting user-friendly representations and aspects.

  • Scalable system design for description, presentation, exchange of knowledge
  • Representation of dynamic changes of knowledge domains
  • (Semi-)automatic, context based knowledge classification and organisation
  • X-D knowledge domain vizualisation
  • Semantic Web technologies especially Semantic Web Services
  • X-D and XPS based information and recommender systems

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