Bridging the gap between coordinate- and keyword- based search of neuroscientific databases by UMLS-assisted semantic keyword extraction
| Autor: | Bartlomiej Wilkowski, Lars Kai Hansen, Marcin Szewczyk |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Measure (data warehouse)
Information retrieval Database Process (engineering) Computer science business.industry Cognitive Neuroscience Unified Medical Language System Keyword extraction Context (language use) computer.software_genre Pipeline (software) Bridging (programming) Neurology Artificial intelligence business computer Natural language processing |
| Zdroj: | Wilkowski, B, Szewczyk, M M & Hansen, L K 2009, Bridging the gap between coordinate-and keyword-based search of neuroscientific databases by UMLS-assisted semantic keyword extraction . in NeuroImage : Supplement 1 . vol. 47, 15th Annual Meeting of the Organization for Human Brain Mapping, San Francisco, CA, United States, 18/06/2009 . |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/s1053-8119(09)71750-1 |
| Popis: | The rapid growth of the neuroimaging literature brings the demand for integration, organization and dissemination among a highly interdisciplinary community of researchers, see e.g. (Wager, Lindquist & Kaplan 2007). Since functional localization in brain is normally represented in form of stereotaxic coordinates, it can be used directly in the process of retrieving related literature in a given functional context by the measure of coordinate distance. Current neuroimaging databases which provide coordinate-based search capabilities (Brede Database, BrainMap) contain relatively small number of publications (Szewczyk 2008), therefore an interconnection with more comprehensive bibliographical databases can extend the results pool. Recently, the BredeQuery plug-in for SPM pipeline was presented as a tool which enables coordinate-based querying of the Brede Database directly from SPM (Wilkowski, Szewczyk, Rasmussen, Hansen & Nielsen 2009). As an extension of the current plugin’s functionality, we propose methods for integration of the Brede Database with the almost complete medical publication database PubMed (http://pubmed.org). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect