Name
Title | ||
|---|---|---|
Tools and approaches for the construction of knowledge models from the neuroscientific literature |
Abstract | ||
|---|---|---|
Within this paper, we describe a neuroinformatics project (called “NeuroScholar,” http://www.neuroscholar.org/) that enables
researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature.
The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods
that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of
the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address largescale
questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a “real-world” neuroscience
question: How is stress-related information processed in the brain? We then explain how the overall design of NeuroScholar
enables the system to work and illustrate different components of the user interface. We then describe the knowledge management
strategy we use to store interpretations. Finally, we describe the software engineering framework we have devised (called
the “View-Primitive-Data Model framework,” [VPDMf]) to provide an open-source, accelerated software development environment
for the project. We believe that NeuroScholar will be useful to experimental neuroscientists by helping them interact with
the primary neuroscientific literature in a meaningful way, and to neuroinformaticians by providing them with useful, affordable
software engineering tools. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1385/NI:1:1:081 | Neuroinformatics |
Keywords | Field | DocType |
Neuroinformatics, literature, knowledge models, bibliographic, database | Information system,Data science,Neuroinformatics,Paraventricular hypothalamic nucleus,Computer science,Development environment,Knowledge management,Artificial intelligence,Abstraction layer,User interface,Machine learning | Journal |
Volume | Issue | ISSN |
1 | 1 | 1559-0089 |
Citations | PageRank | References |
8 | 0.64 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gully A. P. C. Burns | 1 | 172 | 12.17 |
| Arshad M. Khan | 2 | 23 | 3.88 |
| Shahram Ghandeharizadeh | 3 | 1962 | 865.12 |
| Mark A. O’Neill | 4 | 8 | 0.64 |
| Yi-Shin Chen | 5 | 130 | 24.18 |