Name
Title | ||
|---|---|---|
Information Processes Produce Imperfections in Data-The Information Infrastructure Compensates for Them |
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.
|
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-68566-1_27 | SDH |
Keywords | Field | DocType |
data quality,data processing,information infrastructure,information processing | Ontology,Data mining,Data quality,Imperfect,Engineering,Formal concept analysis,Probability density function,Information infrastructure | Conference |
Citations | PageRank | References |
1 | 0.36 | 12 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew U. Frank | 1 | 835 | 332.71 |