| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 05046 | |
| Number of page(s) | 8 | |
| Section | T5 - Software development | |
| DOI | https://doi.org/10.1051/epjconf/201921405046 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921405046
The ATLAS Metadata Interface (AMI) 2.0 metadata ecosystem: new design principles and features
Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS / IN2P3, 53 rue des Martyrs,
38026, Grenoble Cedex
FRANCE
* e-mail: jerome.odier@lpsc.in2p3
Published online: 17 September 2019
ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from 18 years of feedback in the LHC context, the second major version was recently released. This paper describes the design choices and their benefits for providing high-level metadata-dedicated features. In particular, the Metadata Querying Language (MQL) - a domain-specific language allowing to query databases without knowing the relation between entities - and on the AMI Web framework are described.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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