About: Solving Waste Management Data Uncertainties. Case Study of South Moravian Region     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Imprecision of input data is an important characteristic feature of environmental monitoring. When mak-ing evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal mistake. The main task of information and communication technology (ICT) is to deal with the pri-mary data uncertainty and thus to reduce the risk of mistake. At present new approaches and methodolo-gies to handle data uncertainty are explored as opposite to standard. This paper presents comparison of such new approach against standard one in the case study of the assessment of waste management indica-tors in the South Moravian Region of the Czech Republic. The new approach brings more modular way of dealing with uncertainty and is supposed to bring better results and less workload then standard approach.
  • Imprecision of input data is an important characteristic feature of environmental monitoring. When mak-ing evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal mistake. The main task of information and communication technology (ICT) is to deal with the pri-mary data uncertainty and thus to reduce the risk of mistake. At present new approaches and methodolo-gies to handle data uncertainty are explored as opposite to standard. This paper presents comparison of such new approach against standard one in the case study of the assessment of waste management indica-tors in the South Moravian Region of the Czech Republic. The new approach brings more modular way of dealing with uncertainty and is supposed to bring better results and less workload then standard approach. (en)
Title
  • Solving Waste Management Data Uncertainties. Case Study of South Moravian Region
  • Solving Waste Management Data Uncertainties. Case Study of South Moravian Region (en)
skos:prefLabel
  • Solving Waste Management Data Uncertainties. Case Study of South Moravian Region
  • Solving Waste Management Data Uncertainties. Case Study of South Moravian Region (en)
skos:notation
  • RIV/00216224:14110/06:00021699!RIV10-MSM-14110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021622412)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 500284
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14110/06:00021699
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Waste Management; Uncertainty; Data Management; South Moravia (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [425EE9F95253]
http://linked.open...v/mistoKonaniAkce
  • Graz, Austria
http://linked.open...i/riv/mistoVydani
  • Vienna
http://linked.open...i/riv/nazevZdroje
  • 20th International Conference on Informatics for Environmental Protection. Managing Environmental Knowledge
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hřebíček, Jiří
  • Hejč, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Shaker Verlag
https://schema.org/isbn
  • 3-8322-5321-1
http://localhost/t...ganizacniJednotka
  • 14110
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 9 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software