Design principles of the Metadata Querying Language (MQL) implemented in the ATLAS Metadata Interface (AMI) ecosystem

EPJ Web of Conferences ◽

10.1051/epjconf/202024504044 ◽

2020 ◽

Vol 245 ◽

pp. 04044

Author(s):

Jérôme Fulachier ◽

Jérôme Odier ◽

Fabian Lambert

Keyword(s):

Query Language ◽

Design Principles ◽

Domain Specific Language ◽

Specific Language ◽

Domain Specific ◽

Complex Queries ◽

Structured Query Language

This document describes the design principles of the Metadata Querying Language (MQL) implemented in ATLAS Metadata Interface (AMI), a metadata-oriented domain-specific language allowing to query databases without knowing the relation between tables. With this simplified yet generic grammar, MQL permits writing complex queries more simply than with Structured Query Language (SQL).

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Building Quranic stories ontology using MappingMaster domain-specific language

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v12i1.pp684-693 ◽

2022 ◽

Vol 12 (1) ◽

pp. 684

Author(s):

Rusul Yousif Alsalhee ◽

Abdulhussein Mohsin Abdullah

Keyword(s):

Query Language ◽

Role Modeling ◽

Domain Specific Language ◽

Modeling Language ◽

Specific Language ◽

Domain Specific ◽

The People ◽

Holy Quran ◽

The Holy Quran ◽

Object Role Modeling

<p>The Holy Quran, due to it is full of many inspiring stories and multiple lessons that need to understand it requires additional attention when it comes to searching issues and information retrieval. Many works were carried out in the Holy Quran field, but some of these dealt with a part of the Quran or covered it in general, and some of them did not support semantic research techniques and the possibility of understanding the Quranic knowledge by the people and computers. As for others, techniques of data analysis, processing, and ontology were adopted, which led to directed these to linguistic aspects more than semantic. Another weakness in the previous works, they have adopted the method manually entering ontology, which is costly and time-consuming. In this paper, we constructed the ontology of Quranic stories. This ontology depended in its construction on the MappingMaster domain-specific language (MappingMaster DSL)technology, through which concepts and individuals can be created and linked automatically to the ontology from Excel sheets. The conceptual structure was built using the object role modeling (ORM) modeling language. SPARQL query language used to test and evaluate the propsed ontology by asking many competency questions and as a result, the ontology answered all these questions well.</p>

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The ATLAS Metadata Interface (AMI) 2.0 metadata ecosystem: new design principles and features

EPJ Web of Conferences ◽

10.1051/epjconf/201921405046 ◽

2019 ◽

Vol 214 ◽

pp. 05046

Author(s):

Jérôme Odier ◽

Fabian Lambert ◽

Jérôme Fulachier

Keyword(s):

Design Principles ◽

Domain Specific Language ◽

Specific Language ◽

Domain Specific ◽

Web Framework ◽

Metadata Aggregation ◽

High Level

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.

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