Publications

sort by:  author date

Semantic web technologies in EEG/ERP domain

MOUČEK, R., JEŽEK, P., PAPEŽ, V. Semantic web technologies in EEG/ERP domain. In BIOSTEC 2011. Setúbal: SciTePress, 2011. s. 618-621. ISBN: 978-989-8425-34-8
Abstract PDF BibTeX

The paper shortly describes EEG/ERP domain and the system for storage and management of data and metadata from EEG/ERP experiments. The system has been developed using common technologies and data structures (object oriented code, relational database). A registration of the system as a recognized data source requires representation of its data and metadata by semantic web resources. A short overview of differences between common data structures and semantic web representations is given and possible approaches to automated transformation of data and metadata from common data structures are mentioned. The existing semantic web frameworks and tools, widely tested for our purposes, are listed. Finally, the integration of selected tools and the software solution for automated transformation from the relational database to a semantic web representation is described.

Clustering of Words from Czech Written Documents Using GHSOM

MOUČEK, R., MAUTNER, P. Clustering of Words from Czech Written Documents Using GHSOM. In 2010 second WRI global congress on intelligent systems. Vol. 3. Los Alamitos: IEEE, 2010. s. 150-153. ISBN: 978-0-7695-4304-8
Abstract PDF BibTeX

The paper focuses on possibilities of improving categorization of words from input collection of Czech written documents into syntactic categories using the Growing Hierarchical Self-Organizing Map (GHSOM). Clustering on two document collections is presented; results of GHSOM and WEBSOM are compared. The modified GHSOM is introduced.

EEG/ERP Portal - Semantic Web Extension

JEŽEK, P., MOUČEK, R. EEG/ERP Portal - Semantic Web Extension. In 2010 Second WRI Global Congress on Intelligent Systems, Vol. 3. Los Alamitos: IEEE, 2010. s. 392-395. ISBN: 978-0-7695-4304-8
Abstract PDF BibTeX

EEG/ERP domain is shortly introduced in this paper and the system for storing and managing EEG/ERP experiments is presented. The system has been developed as a standalone web based portal. Authors? plan to register this portal as a recognized data source requires providing domain ontology. Authors investigate a transformation of data from the system (relational database and object oriented model) automatically. Several existing tools used for the mapping from object oriented model to semantic web representations were tested. Their integration and modification are presented.

Comparison of neural networks used for processing and categorization of czech written documents

MAUTNER, P., MOUČEK, R. Comparison of neural networks used for processing and categorization of czech written documents. In KDIR 2010 : International Conference on Knowledge Discovery and Information Retrieval. Setúbal: SciTePress, 2010. s. 510-513. ISBN: 978-989-8425-28-7
Abstract PDF BibTeX

The article deals with application of neural networks for czech written dokument categorization. The two systems based on SOM and ART-2 neural network are described here, and the results of categorization of czech written documents are also discussed.

Czech National Node for Neuroinformatics (CNNN)

MOUČEK, R. Czech National Node for Neuroinformatics (CNNN). 2010.
Abstract PDF BibTeX

The paper introduces the Czech National Node for Neuroinformatics (CNNN). It includes 11 Czech universities, research institutes and industrial enterprises. Approximately 60 people are involved in the neuroinformatics research at the present time. In 2009 they solved four significant domestic projects and research grants supported by the Czech Ministry of Education, the Czech Ministry of Transportation, The Grant Agency of the Academy of Sciences of the Czech Republic, and the Czech state Grant agency. The members of CNNN were mainly interested in the following fields: human interactions with transportation vehicles, drivers? behavior, database of drivers? records, driving simulators, EEG/ERP experimental database, ERP analysis in children with developmental coordination disorder, and methods of EEG/ERP analysis.

Our partners