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Authors: Jan Štěbeták ; Roman Mouček and Jan Koreň

Affiliation: University of West Bohemia, Czech Republic

ISBN: 978-989-758-010-9

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.

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Paper citation in several formats:
Štěbeták J., Mouček R. and Koreň J. (2014). Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 238-243. DOI: 10.5220/0004748602380243

@conference{healthinf14,
author={Jan Štěbeták and Roman Mouček and Jan Koreň},
title={Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={238-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004748602380243},
isbn={978-989-758-010-9},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology
SN - 978-989-758-010-9
AU - Štěbeták J.
AU - Mouček R.
AU - Koreň J.
PY - 2014
SP - 238
EP - 243
DO - 10.5220/0004748602380243

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