The performance of a knowledge based system for converting occupational classifications

R. Popping

doi:10.1007/bf01101974

The performance of a knowledge based system for converting occupational classifications

R. Popping^*

^*Corresponding author for this work

Sociology/ICS

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

In (mobility) research a lot of attention is given to models that are used. There is hardly attention for the way data are assigned to the categories as used in the comparisons. Assigning by human coders might cause a lot of errors. This is shown by the results of an experiment. As a first step to solve this problem, a knowledge-based system should be used to perform the conversion of the data. Some conversions in an existing system are investigated.

Original language	English
Pages (from-to)	273-286
Number of pages	14
Journal	Quality and Quantity
Volume	29
Issue number	3
DOIs	https://doi.org/10.1007/bf01101974
Publication status	Published - Aug-1995

Keywords

CODING
KNOWLEDGE-BASE
QUALITY OF DATA

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KW - QUALITY OF DATA

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The performance of a knowledge based system for converting occupational classifications

Abstract

Keywords

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