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Management of data quality related problems: exploiting operational knowledge

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Management of data quality related problems: exploiting operational knowledge

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Samenvatting

Dealing with data quality related problems is an important issue that all organizations face in realizing and sustaining data intensive advanced applications. Upon detecting these problems in datasets, data analysts often register them in issue tracking systems in order to address them later on categorically and collectively. As there is no standard format for registering these problems, data analysts often describe them in natural languages and subsequently rely on ad-hoc, non-systematic, and expensive solutions to categorize and resolve registered problems. In this contribution we present a formal description of an innovative data quality resolving architecture to semantically and dynamically map the descriptions of data quality related problems to data quality attributes. Through this mapping, we reduce complexity – as the dimensionality of data quality attributes is far smaller than that of the natural language space – and enable data analysts to directly use the methods and tools.

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OrganisatieHogeschool Rotterdam
LectoraatKenniscentrum Creating 010
Gepubliceerd inProceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA Pagina's: 31-42
Datum2016-07-01
TypeArtikel
ISBN9789897581939
DOI10.5220/0005982300310042
TaalEngels

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