Dynamic Semantic Visual Information Management
Dominant Internet search engines use keywords and therefore are not suited for exploration of new domains of knowledge, when the user does not know specific vocabulary. Browsing through articles in a large encyclopedia, each presenting a small fragment of knowledge, it is hard to map the whole domain, see relevant concepts and their relations. In Wikipedia for example some highly relevant articles are not linked with each other. Static links do not express the need to show dynamic subsets of interconnected concepts that reflect particular interest of the user. Using neurocognitive inspirations to understand information representation based on natural language we have developed various ways for dynamic representation of relevant information. Preliminary experiments with Wikipedia articles are used to demonstrate this approach.
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