Towards a federated neuroscientific knowledge management system using brain atlases

Gully A.P.C. Burns; Klaas Stephan; Bertram Ludäscher; Amarnath Gupta; Rolf Kötter

doi:10.1016/S0925-2312(01)00520-3

Towards a federated neuroscientific knowledge management system using brain atlases

Gully A.P.C. Burns, Klaas Stephan, Bertram Ludäscher, Amarnath Gupta, Rolf Kötter

Research output: Contribution to journal › Article › peer-review

Abstract

The topic of federated databases has received much attention within the domain of neuroinformatics and is widely perceived as the eventual solution to the problems inherent in building truly interoperable informatics systems. We describe a feasibility study of a methodology strategy for building federated informatics systems with a specific example from informatics approaches involving the neuroscientific literature. We examine the logistical issues concerning linking two database systems (CoCoMac and NeuroScholar) via a method based on the use of transformations between neuroanatomical parcellations (Stephan et al., Phil. Trans. R. Soc. London B 335 (2000) 37-54).

Original language	English (US)
Pages (from-to)	1633-1641
Number of pages	9
Journal	Neurocomputing
Volume	38-40
DOIs	https://doi.org/10.1016/S0925-2312(01)00520-3
State	Published - Jun 2001
Externally published	Yes

Keywords

Brain parcellation
Connectivity
Database federation
Neuroinformatics

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

Online availability

10.1016/S0925-2312(01)00520-3

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title = "Towards a federated neuroscientific knowledge management system using brain atlases",

abstract = "The topic of federated databases has received much attention within the domain of neuroinformatics and is widely perceived as the eventual solution to the problems inherent in building truly interoperable informatics systems. We describe a feasibility study of a methodology strategy for building federated informatics systems with a specific example from informatics approaches involving the neuroscientific literature. We examine the logistical issues concerning linking two database systems (CoCoMac and NeuroScholar) via a method based on the use of transformations between neuroanatomical parcellations (Stephan et al., Phil. Trans. R. Soc. London B 335 (2000) 37-54).",

keywords = "Brain parcellation, Connectivity, Database federation, Neuroinformatics",

author = "Burns, {Gully A.P.C.} and Klaas Stephan and Bertram Lud{\"a}scher and Amarnath Gupta and Rolf K{\"o}tter",

note = "Funding Information: Rolf K{\"o}tter studied medicine and computer science in Germany, Britain and France. He leads the Computational Systems Neuroscience group at the Center of Anatomy and Brain Research, D{\"u}sseldorf University, to establish structure-function relationships in the brain by experimental and computational approaches. Supported by DFG LIS 4-554 95(2) D{\"u}sseldorf.",

year = "2001",

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doi = "10.1016/S0925-2312(01)00520-3",

language = "English (US)",

volume = "38-40",

pages = "1633--1641",

journal = "Neurocomputing",

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T1 - Towards a federated neuroscientific knowledge management system using brain atlases

AU - Burns, Gully A.P.C.

AU - Stephan, Klaas

AU - Ludäscher, Bertram

AU - Gupta, Amarnath

AU - Kötter, Rolf

N1 - Funding Information: Rolf Kötter studied medicine and computer science in Germany, Britain and France. He leads the Computational Systems Neuroscience group at the Center of Anatomy and Brain Research, Düsseldorf University, to establish structure-function relationships in the brain by experimental and computational approaches. Supported by DFG LIS 4-554 95(2) Düsseldorf.

PY - 2001/6

Y1 - 2001/6

N2 - The topic of federated databases has received much attention within the domain of neuroinformatics and is widely perceived as the eventual solution to the problems inherent in building truly interoperable informatics systems. We describe a feasibility study of a methodology strategy for building federated informatics systems with a specific example from informatics approaches involving the neuroscientific literature. We examine the logistical issues concerning linking two database systems (CoCoMac and NeuroScholar) via a method based on the use of transformations between neuroanatomical parcellations (Stephan et al., Phil. Trans. R. Soc. London B 335 (2000) 37-54).

AB - The topic of federated databases has received much attention within the domain of neuroinformatics and is widely perceived as the eventual solution to the problems inherent in building truly interoperable informatics systems. We describe a feasibility study of a methodology strategy for building federated informatics systems with a specific example from informatics approaches involving the neuroscientific literature. We examine the logistical issues concerning linking two database systems (CoCoMac and NeuroScholar) via a method based on the use of transformations between neuroanatomical parcellations (Stephan et al., Phil. Trans. R. Soc. London B 335 (2000) 37-54).

KW - Brain parcellation

KW - Connectivity

KW - Database federation

KW - Neuroinformatics

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DO - 10.1016/S0925-2312(01)00520-3

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SP - 1633

EP - 1641

JO - Neurocomputing

JF - Neurocomputing

ER -

Towards a federated neuroscientific knowledge management system using brain atlases

Abstract

Keywords

ASJC Scopus subject areas

Online availability

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