The main goal of the proposed project is of the develop methodologies and technical means for supporting electronically aided education using Semantic Web, with focus on integration of natural language processing (NLP) methods, adaptive and personalized systems. Priorities of the first phase include integration of legacy NLP applications: search engines with morphology, Wordnet automated document classification and similarity estimation, extraction of keywords, indexes, abstracts, finding related materials in digital libraties, infosources and on the web. Research in storing, indexing and querying over heavily interlinked document systems, their adaptivity and personalization will follow. In the next phase, the project will study techniques for data mining on test results data and/or automated feedback construction possibly including error corpus.
The tools developed during the project will be published in open-source and/or offered as web service.

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