Published 2019
| Version v1
Journal article
The ATLAS Metadata Interface (AMI) 2.0 metadata ecosystem: new design principles and features
- 1. Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS / IN2P3, 53 rue des Martyrs,38026, Grenoble Cedex FRANCE (France)
Description
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.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_05046.pdf; https://doaj.org/article/115473c47f5740b69be2856865cfbdb5Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 214
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 23. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2018
- Dates
- 9-13 Jul 2018
- Place
- Sofia (Bulgaria)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53095396
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- AGGLOMERATION; CATALOGS; CERN LHC; DATA BASE MANAGEMENT; DATA PROCESSING; DESIGN; INFORMATION SYSTEMS
- Descriptors DEC
- ACCELERATORS; CYCLIC ACCELERATORS; DOCUMENT TYPES; MANAGEMENT; PROCESSING; STORAGE RINGS; SYNCHROTRONS