Ontology‐Based Search Engine For Simulation Models From Their Related System Function - Archive ouverte HAL Access content directly
Journal Articles INCOSE International Symposium Year : 2021

Ontology‐Based Search Engine For Simulation Models From Their Related System Function

(1, 2) , (1, 2) , (3) , (1, 2) , (3) , (3)
1
2
3

Abstract

In a highly competitive industrial environment, reducing development time while maintaining a low level of risk makes simulation-based design an effective way to cope with the complexity of multidisciplinary systems. To accelerate the design cycle, capitalization and reuse processes can support the search for similar models in an existing database. Therefore, we propose to prototype a search engine for simulation models from system modeling. This paper focuses on the presentation of our initial works around an ontology-based search engine of simulation models representing the behavior of a given system function. Algorithms and similarity metrics developed are based on both thesaurus reference functions associated with semantic relations, and on various port attributes. Finally, an implementation of the corresponding inference engine has been demonstrated in an autonomous vehicle case study.
Not file

Dates and versions

hal-03585116 , version 1 (22-02-2022)

Identifiers

Cite

Sara Mejdal, Olivia Penas, Romain Barbedienne, Régis Plateaux, Mathieu Bisquay, et al.. Ontology‐Based Search Engine For Simulation Models From Their Related System Function. INCOSE International Symposium, 2021, Incose International Symposium, 31 (1), pp.1145-1159. ⟨10.1002/j.2334-5837.2021.00892.x⟩. ⟨hal-03585116⟩
27 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More