The University of Southampton
University of Southampton Institutional Repository

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
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
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
Download (3MB)
Slideshow
JGF_CINF_ACS_RDF_public.ppt - Other
Restricted to Registered users only
Download (2MB)
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
ORCID for Jonathan W. Essex: ORCID iD orcid.org/0000-0003-2639-2746
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

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
Author: Jeremy G. Frey ORCID iD

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×