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Distributed and Self-organizing Systems
Distributed and Self-organizing Systems
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PUBLICATION

DaQAR - An ontology for the uniform exchange of comparable Linked Data Quality Assessment Requirements

Type

Conference Paper

Year

2018

Authors

andrelanger

gaedke

Research Area

Intelligent Information Management

Event

18th International Conference on Web Engineering

Published in

Proceedings of 18th International Conference on Web Engineering (ICWE2018)

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Abstract

The World Wide Web represents a tremendous source of information with resources of varying data quality from almost arbitrary knowledge domains. The decision process to select the best data source for current business requirements is not trivial. In the past, research has already focused on vocabularies to represent data quality metrics and measurements (W3C's DQV) or notations to represent and validate structural requirements (W3C's SHACL).

But a consistent universal semantic approach to define specific quality requirements for assessment purposes from the data consumer perspective is still missing.

Therefore, we address this challenge and present \approach~- an ontology that is capable of defining arbitrary quality requirements on both data instance, schema and service level in a uniform fashion. It can be used for data quality assessment purposes to compare multiple eligible data resources on particular metrics and attributes of current interest.

Reference

Langer, André; Gaedke, Martin: DaQAR - An ontology for the uniform exchange of comparable Linked Data Quality Assessment Requirements. Proceedings of 18th International Conference on Web Engineering (ICWE2018), 2018.





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