Using Graph Tools on Metadata Repositories
Titel | Using Graph Tools on Metadata Repositories |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Ulrich H., Kock-Schoppenhauer A.-K., Duhm-Harbeck P., Ingenerf J. |
Journal | Studies in health technology and informatics |
Volume | 253 |
Pages | 55-59 |
Date Published | 2018 |
Publication Language | eng |
ISSN | 0926-9630 |
Abstract | 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 Journal | Stud Health Technol Inform |