Biomedical ontologies and grid computing

Giulio Napoiitano*, Alejandra Gonzalez Beltran, Colin Fox, Adele Marshall, Anthony Finkelstein, Peter McCarron

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cancer registry information systems need to deal with several data sets annotated with different coding systems. Designing, maintaining and linking these datasets involves dealing with semantic issues, tackling the shortcomings exhibited by coding systems as well as considering an appropriate computing infrastructure. We argue that biomedical ontologies and a Grid service infrastructure, together with a clear separation between semantic and coding models, can prove beneficial to cancer registries in terms of accuracy of knowledge modelling, interoperability and knowledge sharing with other registries and related data sources, automation of information retrieval. A real-life example is illustrated and a brief review of related projects is provided. We conclude that a formal semantic layer, which is the basis of large scale meaning-oriented projects such as the Semantic Web, is the key to the provision of a uniform, science-based view across cancer registries and related systems.

Original languageEnglish
Title of host publicationHEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics
Pages512-517
Number of pages6
Publication statusPublished - 21 Jul 2009
Event2nd International Conference on Health Informatics, HEALTHINF 2009 - Porto, Portugal
Duration: 14 Jan 200917 Jan 2009

Publication series

NameHEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics

Conference

Conference2nd International Conference on Health Informatics, HEALTHINF 2009
CountryPortugal
CityPorto
Period14/01/200917/01/2009

Keywords

  • Biomedical grid systems
  • Cancer registries
  • Ontologies
  • Semantic web

ASJC Scopus subject areas

  • Software
  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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