Data Quality Assessment in Volunteered Geographic Decision Support View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Guy De Tré , Robin De Mol , Sytze van Heteren , Jan Stafleu , Vasileios Chademenos , Tine Missiaen , Lars Kint , Nathan Terseleer , Vera Van Lancker

ABSTRACT

Geographic decision support systems aim to integrate and process data originating from different sources and different data providers in order to create suitability models. A suitability model denotes how suitable geographic locations are for a specific purpose on which decision-makers need to make a decision. Particularly in the presence of volunteered information, data quality assessment becomes an important aspect of a decision-making process. Geographic data are commonly prone to incompleteness, imprecision and uncertainty, and this is even more the case with volunteered data. To correctly inform the users, it is essential to communicate not only the suitability degrees highlighted in a suitability model, but also the confidence about these suitability degrees as can be derived from data quality assessment. In this chapter, a novel hierarchical approach for data quality assessment, supporting the computation of associated confidence degrees, is introduced. To illustrate its added value, aspects of the project Transnational and Integrated Long-term marine Exploitation Strategies (TILES) are used. Providing confidence information adds an extra dimension to the decision-making process and leads to more sound decisions. More... »

PAGES

173-192

References to SciGraph publications

Book

TITLE

Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation

ISBN

978-3-319-70877-5
978-3-319-70878-2

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-70878-2_9

DOI

http://dx.doi.org/10.1007/978-3-319-70878-2_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099907070


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