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Norman W. Paton

Researcher at University of Manchester

Publications -  347
Citations -  12361

Norman W. Paton is an academic researcher from University of Manchester. The author has contributed to research in topics: Data integration & Query language. The author has an hindex of 51, co-authored 337 publications receiving 11928 citations. Previous affiliations of Norman W. Paton include Birkbeck, University of London & University of Aberdeen.

Papers
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Journal ArticleDOI

ISPIDER Central: an integrated database web-server for proteomics

TL;DR: The ISPIDER Central Proteomic Database search is presented, an integration service offering novel search capabilities over leading, mature, proteomic repositories including PRoteomics IDEntifications database (PRIDE), PepSeeker, PeptideAtlas and the Global Proteome Machine.
Journal ArticleDOI

KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways

TL;DR: KiPar is a dedicated information retrieval system designed to facilitate access to the literature relevant for kinetic modelling of a given metabolic pathway in yeast, and develops an integrative approach, combining public data and software resources for the rapid development of large-scale text mining tools targeting complex biological information.
Book ChapterDOI

Data access and integration in the ISPIDER proteomics grid

TL;DR: This paper presents an architecture which supports the combined use of Grid data access, Grid distributed querying, Grid data integration and data integration software tools to support distributed data analysis.
Book ChapterDOI

Geographic Data Handling in a Deductive Object-Oriented Database

TL;DR: The DOOD system is described, a framework for the structural organisation of GIS data using an object-oriented data model is presented, and it is shown how a logic query language can be used within this structural framework to perform a range of analyses.
Proceedings ArticleDOI

Pay-as-you-go data integration for linked data: opportunities, challenges and architectures

TL;DR: It is made the case that many aspects of both publication and consumption of LD stand to benefit from a pay-as-you-go approach to data integration.