semANT - Sémantický průzkumník textového kulturního dědictví

semANT - Semantic Document Exploration

grant

digital library, topic identification, semantic document search, content exploration, content visualization

The main goal of this project is therefore to improve the possibilities of searching in the full-text representation of digitized documents at the level of text meaning and the possibilities of natural navigation between thematically similar documents. We provide users with a full-text search extended by understanding the meaning of queries, the ability to search by parts of the text (such as paragraphs) with the ability to specify at the same time the topic that interests him in the text. The system will work with automatically identified topics, but will allow users to define their own topics based on examples from texts.

Hradiš Michal, Ing., Ph.D. (UPGM FIT VUT) , research leader
Beneš Karel, Ing. (UPGM FIT VUT)
Dočekal Martin, Ing. (UPGM FIT VUT)
Fajčík Martin, Ing., Ph.D. (UPGM FIT VUT)
Kavalová Radka, Mgr. (VCIT FIT VUT)
Kišš Martin, Ing. (UPGM FIT VUT)
Kohút Jan, Ing. (UPGM FIT VUT)
Lampa Petr, Ing. (CVT FIT VUT)
Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT)