Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922612" target="_blank" >RIV/49777513:23520/14:43922612 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology
Original language description
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 andanalytic 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.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Conference on Health Informatics
ISBN
978-989-758-010-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
238-243
Publisher name
SciTePress
Place of publication
Setúbal
Event location
Angers
Event date
Mar 3, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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