Triple Store Databases and their role in high throughput, automated, extensible, data analysis
Triple Store Databases and their role in high throughput, automated, extensible, data analysis
A critical component of high throughput experiments is the ability to store, retrieve, and analyse the resulting data. This is arguably best accomplished using a relational database. However, an elaborate relational database is founded on a complicated schema, and changing this schema requires a major act of redesign. This is incompatible with the scientific method, however, by which new hypotheses are devised and tested. Triple store databases, on the other hand, are able to be modified and extended without requiring a major redesign. In this presentation, the triple store method, and its application to the cheminformatics problem of solubility prediction, will be described.
triple store, sematics, rdf, moelcular structure, molecular properties
Taylor, Kieron R.
37570c5c-4c91-4668-978c-09321b2f64ad
Gledhill, Robert J.
de6cab60-d1f3-4f64-978c-3fc464aa277e
Essex, Jonathan W.
1f409cfe-6ba4-42e2-a0ab-a931826314b5
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
15 March 2005
Taylor, Kieron R.
37570c5c-4c91-4668-978c-09321b2f64ad
Gledhill, Robert J.
de6cab60-d1f3-4f64-978c-3fc464aa277e
Essex, Jonathan W.
1f409cfe-6ba4-42e2-a0ab-a931826314b5
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Taylor, Kieron R., Gledhill, Robert J., Essex, Jonathan W. and Frey, Jeremy G.
(2005)
Triple Store Databases and their role in high throughput, automated, extensible, data analysis.
229th ACS National Meeting, San Diego, California, USA.
13 - 17 Mar 2005.
Record type:
Conference or Workshop Item
(Other)
Abstract
A critical component of high throughput experiments is the ability to store, retrieve, and analyse the resulting data. This is arguably best accomplished using a relational database. However, an elaborate relational database is founded on a complicated schema, and changing this schema requires a major act of redesign. This is incompatible with the scientific method, however, by which new hypotheses are devised and tested. Triple store databases, on the other hand, are able to be modified and extended without requiring a major redesign. In this presentation, the triple store method, and its application to the cheminformatics problem of solubility prediction, will be described.
Text
JGF_CINF_ACS_RDF_public.pdf
- Other
Slideshow
JGF_CINF_ACS_RDF_public.ppt
- Other
Restricted to Registered users only
Request a copy
More information
Published date: 15 March 2005
Additional Information:
CombeChem output
Venue - Dates:
229th ACS National Meeting, San Diego, California, USA, 2005-03-13 - 2005-03-17
Keywords:
triple store, sematics, rdf, moelcular structure, molecular properties
Identifiers
Local EPrints ID: 15165
URI: http://eprints.soton.ac.uk/id/eprint/15165
PURE UUID: 85aaff19-2466-4475-b80a-28db271ebed0
Catalogue record
Date deposited: 22 Mar 2005
Last modified: 16 Mar 2024 02:45
Export record
Contributors
Author:
Kieron R. Taylor
Author:
Robert J. Gledhill
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics