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

Jan Štěbeták, Roman Mouček, Jan Koreň

2014

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.

References

  1. International Neuroinformatics Coordinating Facility (INCF, 2011),
  2. Pelt, J. van, Horn J. van, 2007, Workshop report. 1st INCF Workshop on Sustainability of Neuroscience Databases. Stockholm.
  3. Middleton, C., Baeza-Yates, R., 2007, “A comparison of open source search engines,” tech. rep., 10.
  4. Indri homepage (2013), http:// www.lemurproject.org/indri.php
  5. Turtle, H., Hegde, Y., Rowe, S. A., 2012, “Yet another comparison of lucene and indri performance”, in Proceedings of the SIGIR 2012 Workshop on Open Source Information Retrieval, vol. 46, pp. 64-67.
  6. Lucene homepage (2013), http://lucene.apache.org/
  7. Sphinx homepage (2013), http://sphinxsearch.com
  8. Solr homepage (2013), http://lucene.apache.org/solr
  9. Gamma E., Helm, R., Johnson, R., Vlissides, J., 1994, Design Patterns: Elements of Reusable ObjectOriented Software. Addison-Wesley Professional, 1 ed.
  10. Hibernate (2013), http://www.hibernate.org/
  11. Jezek, P., Moucek, R., 2010, “System for storage and management of EEG/ERP experiments - generation on ontology” Databases and Information System Integration vol. 1, Madeira: SciTePress, ICEIS.
  12. Koren, J., 2013 “Fulltext search in the database and in text of social netwoks” Master Thesis, Pilsen.
Download


Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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