Authors:
Jan Štěbeták
;
Roman Mouček
and
Jan Koreň
Affiliation:
University of West Bohemia, Czech Republic
Keyword(s):
Neuroinformatics, Electroencephalography, Event-related Potentials, Information Retrieval, Full-text Search, Index Design.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Physiological Computing Systems
;
Software Systems in Medicine
;
Wearable Sensors and Systems
Abstract:
EEG/ERP (electroencephalography, event-related potential) laboratories produce experimental data and metadata. Authors’ research group has contributed to the building of a neuroinformatics infrastructure by developing and integrating data management and analytic tools for EEG/ERP research - the EEG/ERP Portal. With the development of the Portal and the increasing amount of data/metadata, a proper full text search mechanism for efficient information retrieval is necessary to improve the user experience. The presented solution combines search over data/metadata stored in an electrophysiological database and in the LinkedIn social network. Open source search engines, criteria, suitable engine selection, and index design are presented. Integration of the full-text solution to the EEG/ERP Portal is described.