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Using Graph Tools on Metadata Repositories

TitleUsing Graph Tools on Metadata Repositories
Publication TypeJournal Article
Year of Publication2018
AuthorsUlrich H., Kock-Schoppenhauer A.-K., Duhm-Harbeck P., Ingenerf J.
JournalStudies in health technology and informatics
Date Published2018
Publication Languageeng

To exchange data across several sites or to interpret it at a later point in time, it is necessary to create a general understanding of the data. As a standard practice, this understanding is achieved through metadata. These metadata are usually stored in relational databases, so-called metadata repositories (MDR). Typical functions of such an MDR include pure storage, administration and other specific metadata functionalities such as finding relations among data elements. This results in a multitude of connections between the data elements, which can be described as highly interconnected graphs. To use alternative databases such as graph databases for modelling and visualisation it has already been proven to be beneficial in previous studies. The objective of this work is to evaluate how on-board techniques rely on matching and mapping using a graph database. Different datasets relating to cancer were entered, and algorithms for metadata management were applied.

PubMed Link


Alternate JournalStud Health Technol Inform
Created at September 25, 2018 - 9:42am by Kulbe.


Program of Study

Study Medical Informatics
at the University of Lübeck

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