Data Quality Assessment in Volunteered Geographic Decision Support
Autor: | V. Chademenos, N. Terseleer, V. Van Lancker, Tine Missiaen, L. Kint, Robin De Mol, Sytze van Heteren, Jan Stafleu, Guy De Tré |
---|---|
Rok vydání: | 2017 |
Předmět: |
Decision support system
Computer science Process (engineering) 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Data science Order (exchange) Data quality 0202 electrical engineering electronic engineering information engineering Added value 020201 artificial intelligence & image processing Dimension (data warehouse) Decision-making 0105 earth and related environmental sciences Suitability model |
Zdroj: | Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation ISBN: 9783319708775 |
DOI: | 10.1007/978-3-319-70878-2_9 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |