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Published in:
2020 | OriginalPaper | Chapter
Intelligent Combination of Food Composition Databases and Food Product Databases for Use in Health Applications
Authors : Alexander Muenzberg, Janina Sauer, Andreas Hein, Norbert Roesch
Published in: Wireless Mobile Communication and Healthcare
Publisher: Springer International Publishing
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Abstract
The necessity of using food data in mobile health applications is often linked with difficulties. In Europe no standardized and quality-controlled food product databases are accessible. Data from third party sources are often incomplete and have to be checked carefully before use for errors and inconsistencies. The purpose of this approach is to improve data quality and to increase information density by developing a dedicated food data warehouse. By using the extract, transform and load processes known from data warehouse technologies, multiple data sources will be combined, inserted and evaluated. The data is cleaned up by using data profiling techniques. Data mining methods are used to merge the datasets from food composition databases and food product databases to increase information density. The aim is to analyze, if and how Big Data technologies can increase performance of data processing significantly.