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Information Processes Produce Imperfections in Data—The Information Infrastructure Compensates for Them

  • Andrew U. Frank
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Data quality describes the imperfections in geographic data. Imperfections are caused by imperfect realizations of the processes that are used to collect, translate, and classify the data. The tiered ontology gives a clarifying framework to analyze the data processes and the imperfections they introduce. The information infrastructure that processes the data and the decision methods using the data are adapted to compensate for some of the imperfections.

Keywords

Probability Distribution Function Physical Object Physical Reality Mirror Neuron Formal Concept Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Andrew U. Frank
    • 1
  1. 1.Department of Geoinformation and CartographyTechnical University ViennaGuβhausstraβe 27-29/E127Austria

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