An approach for ontology-based research and recommendation on systems engineering projects

Recommendation systems (RS) have dramatically evolved these past few years, generating more and more accurate results and developing innovative filtering methods. A huge breakthrough was the integration of ontologies into their recommendation process. It integrated the domain's knowledge into i...

Full description

Saved in:
Bibliographic Details
Published in:Procedia computer science 2023, Vol.225, p.1350-1359
Main Authors: Alaoui, M. El, Chapurlat, V., Rabah, S., Richet, V., Plana, R.
Format: Article
Language:English
Subjects:
Civil Engineering
Engineering Sciences
knowledge-based recommendation system
ontology-based information retrieval systems
ontology-based recommendation systems
Recommendation systems
Risques
systems engineering, model-based systems engineering
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recommendation systems (RS) have dramatically evolved these past few years, generating more and more accurate results and developing innovative filtering methods. A huge breakthrough was the integration of ontologies into their recommendation process. It integrated the domain's knowledge into its reasoning process, thus overcoming the limitations of the conventional RS. The main purpose of this paper is to explore the application of ontology-based RS within critical infrastructure projects implementing the systems engineering or model-based engineering approach.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2023.10.123