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  • This paper proposes conceptual model which can be used to facilitate the discovery, integration and analysis of environmental data in cancer-related risk studies. Persistent organic pollutants were chosen as a model because of their persistence, bioaccumulation potential and genotoxicity. Part dealing with cancer risk is primarily focused on population-based observations encompassing a wide range of epidemiologic studies, from local investigations to national cancer registries. The proposed model adopted multilayer hierarchy working with characteristics of given entities (POPs, cancer diseases as nomenclature classes) and couples %22observation - measurement%22 as content defining classes. The proposal extends formally used taxonomy applying multidimensional set of descriptors including scores of measurement validity and precision. This solution has the potential to aid multidisciplinary data discovery and knowledge mining.
  • This paper proposes conceptual model which can be used to facilitate the discovery, integration and analysis of environmental data in cancer-related risk studies. Persistent organic pollutants were chosen as a model because of their persistence, bioaccumulation potential and genotoxicity. Part dealing with cancer risk is primarily focused on population-based observations encompassing a wide range of epidemiologic studies, from local investigations to national cancer registries. The proposed model adopted multilayer hierarchy working with characteristics of given entities (POPs, cancer diseases as nomenclature classes) and couples %22observation - measurement%22 as content defining classes. The proposal extends formally used taxonomy applying multidimensional set of descriptors including scores of measurement validity and precision. This solution has the potential to aid multidisciplinary data discovery and knowledge mining. (en)
Title
  • Conceptual Model Enhancing Accessibility of Data from Cancer–Related Environmental Risk Assessment Studies
  • Conceptual Model Enhancing Accessibility of Data from Cancer–Related Environmental Risk Assessment Studies (en)
skos:prefLabel
  • Conceptual Model Enhancing Accessibility of Data from Cancer–Related Environmental Risk Assessment Studies
  • Conceptual Model Enhancing Accessibility of Data from Cancer–Related Environmental Risk Assessment Studies (en)
skos:notation
  • RIV/00216224:14110/11:00052971!RIV12-MSM-14110___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...dnocenehoVysledku
  • 191614
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14110/11:00052971
http://linked.open...riv/jazykVysledku
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  • cancer risk; data discovery; data model; Persistent organic pollutants (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [75DC837D6052]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • 9th IFIP WG 5.11 International Symposium on Environmental Software Systems: Frameworks of eEnvironment, ISESS 2011
http://linked.open...in/vavai/riv/obor
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Baroš, Roman
  • Bednářová, Zdenka
  • Dušek, Ladislav
  • Holoubek, Ivan
  • Hřebíček, Jiří
  • Jarkovský, Jiří
  • Kalina, Jiří
  • Klánová, Jana
  • Kubásek, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1868-4238
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-80-85763-60-7
http://localhost/t...ganizacniJednotka
  • 14110
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