@inproceedings{e84507bbadc04a51b68df55f59fc3d55,
title = "Relational database linkage of scientific applications and their data files",
abstract = "Research in computational neuroscience has been following a model-based approach where data is comprised of digitized streams of sampled analog data, images and voice. The data are generally contained in files and specialized programs are used to analyze the data. In this study we developed a prototype system for indexing and retrieving information for use by an application that analyzes data. The data in the files consist of channels derived from analog and event driven sources. It is also linked to video images associated with the data acquisition. In this research, we developed an indexing capability that threads into the data acquisition and analysis programs to give the system a broad data base capability. We designed tables and relations within the database for indexing the files and information contained within the file. The system has the potential of giving us retrieval capabilities that include analog, event, and video data types.",
keywords = "Analog computers, Couplings, Data acquisition, Data analysis, Indexing, Information retrieval, Neuroscience, Prototypes, Relational databases, Streaming media",
author = "I. Rudowskyi and O. Kulyba and M. Kunin and D. Ogarodnikov and T. Raphan",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE International Workshop on Soft Computing in Industrial Applications, SMCia 2003 ; Conference date: 23-06-2003 Through 25-06-2003",
year = "2003",
doi = "10.1109/SMCIA.2003.1231344",
language = "English",
series = "SMCia 2003 - Proceedings of the 2003 IEEE International Workshop on Soft Computing in Industrial Applications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "55--59",
editor = "Kercel, \{Stephen W.\}",
booktitle = "SMCia 2003 - Proceedings of the 2003 IEEE International Workshop on Soft Computing in Industrial Applications",
address = "United States",
}