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  • by taking into account the graph structure and indicating in the query how particular types of objects should be combined - this is a graph search

  • by ignoring the graph structure and treating individual network elements as related texts, the text of the publication's description is "extended" by the text of the person's description and we perform a search in such extended texts - we then have a text search.

The search results can be adjusted to the user profile, so the answer can be built taking into account the researcher’s “fingerpring” of his/her research. What is very specific for the system, one can use the obtained answer for building a specific report (bibliography, pivot showing a statistics of the contribution to the subject by faculties, etc.).

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