Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Design of a Domain Specific Language for modelling processes in landscapes

Type de record:

papersoftware
Créateur:
DegLo ParFor
Éditeur:
LabCen
Éditeur:
CCSDElsevier
Hôte:avatar
International audience The modelling of processes that occur in landscapes is often confronted to issues related to the representation of space and the difficulty of properly handling time and multiple scales. In order to investigate these issues, a flexible modelling environment is required. We propose to develop such a tool based on a Domain Specific Language (DSL) that capitalises on the service-oriented architecture (SOA) paradigm. The modelling framework around the DSL is composed of a model building environment, a code generator and compiler, and a program execution platform. The DSL introduces five language elements (entity, service, relation, scenario and datafacer) that can be combined to offer a wide range of possibilities for modelling in space and time at different scales. When developing a model, model parts are either built using the DSL or taken from libraries of previously built ones, and adapted to the specific model. The practical usage of the DSL is illustrated first with the Lotka-Volterra model, and then with a landscape modelling experiment on the spread of a mosquito-borne disease in the Sahelian region of West Africa. An interesting characteristic of this approach is the possibility of adding new elements into an existing model, and replacing others with more appropriate ones, thus allowing potentially complex models to be built from simpler parts.

Visit

hal.science

Tags

OceletDSLMulti-scaleSpatial and temporal modellingSOA[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Similaires

A Domain-specific Large Language Model for Diabetes Care and ManagementDevelopment and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South AfricaDesign And Evaluation of A Language-Specific Keyboard Layout For Kanuri Language With Non-Standard CharacterDomain-Specific Neural Translation: A Transformer-Based Model for Medical Terminology Explanation to Hausa LanguageEmission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysisLeveraging Domain Specific Lexicons to Improve Language Preservation and Question Answering Tasks in Large Language Models: A Case of Swahili

A Domain-specific Large Language Model for Diabetes Care and Management

Abstract The prevalence of diabetes is rapidly increasing in lo

Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa

Tuberculosis (TB) is one of the world's deadliest infectious diseases, and in South Africa, it contr

Design And Evaluation of A Language-Specific Keyboard Layout For Kanuri Language With Non-Standard Character

The Kanuri language, spoken by over 5 million people in West Africa, faces significant challenges in

Domain-Specific Neural Translation: A Transformer-Based Model for Medical Terminology Explanation to Hausa Language

Effective medical communication is crucial for diagnosis and patient safety, particularly in multili

Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis

Improving air quality and addressing climate change relies on accurate understanding and analysis of

Leveraging Domain Specific Lexicons to Improve Language Preservation and Question Answering Tasks in Large Language Models: A Case of Swahili

Leveraging Domain Specific Lexicons to Improve Language Preservation and Question Answering Tasks in Large Language Models: A Case of Swahili

Poster presented at the Deep Learning Indaba 2023 by Kevin Omondi