Inteligentní software pro sémantické hledání dokumentů (ISSHD)


This project doesn't include Faculty of Arts. It includes Faculty of Informatics. Official project website can be found on
Investor logo
Project Identification
Project Period
1/2016 - 12/2017
Investor / Pogramme / Project type
Technology Agency of the Czech Republic
MU Faculty or unit
Faculty of Informatics
Project Website
scalable semantic search systems; semantic search; document topic modeling; machine learning; search; deep learning
Cooperating Organization
RaRe Technologies s.r.o.

Our society, research and culture is defined by words, which in today's information society
constitute _documents_.
Project goal is to develop a database system (software),
which will allow searching based on related documents based on their _meaning_ (semantics).
System Scaletext consists from three parts:

  • semantic analysis: arbitrary unstructured document in natural language (English, Czech) is analyzed
  • indexing: document topics and structure are represented and stored internally using _semantic_

representation in such a way, that system is then capable of semantic similarity search given a document query.

  • search: given input query document, system finds semanticaly closed documents, that are closest to [latent] meaning of the query, even though they do not share same keywords



Total number of publications: 9

You are running an old browser version. We recommend updating your browser to its latest version.