A Knowledge-Based Approach to Assisting in Data Quality Judgement

di

Yeona Jang

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A Knowledge-Based Approach to Assisting in Data Quality Judgement - Bookrepublic

A Knowledge-Based Approach to Assisting in Data Quality Judgement

di

Yeona Jang

Forgotten Books

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Descrizione

It is worth noting relationship between quality parameters and quality indicators. The essential distinction among quality indicators and quality parameters is that quality indicators are intended (primarily) to represent objective information about the data manufacturing process [wang Kon, Quality parameters, however, can be user or application-specific, and are derived from either underlying quality indicators or other quality parameters. The topology of the quality hierarchy in this paper is: a single quality parameter being derived from n underlying quality parameters. Each underlying quality parameter, in turn, could be derived from either its underlying quality parameters or quality indicators. For example, a user may conceptualize quality parameter Credibility as one depending on underlying quality parameters such as Source-reputation and Timeliness. The quality parameter Source-reputation, in turn, can be derived from quality indicators such as the number of times that a source supplies obsolete data. This paper assumes that such derivations are complete, and that relevant quality parameter values are available.

Dettagli

Dimensioni del file

571,0 KB

Lingua

eng

Anno

2017

Isbn

9780259724599

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