J Pouliot
Datos Biográficos
| ID | 6452842 |
|---|---|
| NOMBRE | J Pouliot |
| NOMBRES | J |
| APELLIDO | Pouliot |
| FIRMA | POULIOT J |
| AFILIACIONES | Université Laval |
| ORCID | 0000-0001-7811-4129 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 22 |
| OBRAS COMO AUTOR | 7 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2006 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
A Semantic Collaborative Filtering-Based Recommendation System to Enhance Geospatial Data Discovery in Geoportals
Traditional geoportals depend primarily on keyword-based search, which often fails to retrieve relevant datasets when metadata are heterogeneous, incomplete, or inconsistent with user terminology. This limitation reduces the efficiency of data discovery and selection, particularly in domains where metadata quality varies widely. This study aims to address this challenge by developing a semantic collaborative filtering recommendation system design…
An Automated Workflow for Generating 3D Solids from Indoor Point Clouds in a Cadastral Context
Accurate volumetric modeling of indoor spaces is essential for emerging 3D cadastral systems, yet existing workflows often rely on manual intervention or produce surface-only models, limiting precision and scalability. This study proposes and validates an integrated, largely automated workflow (named VERTICAL) that converts classified indoor point clouds into topologically consistent 3D solids served as materials for land surveyor’s cadastral ana…
Development of an Ontology-Based Framework to Enhance Geospatial Data Discovery and Selection in Geoportals for Natural-Hazard Early Warning Systems
Discovering and selecting relevant geospatial datasets from heterogeneous sources remains difficult in conventional geoportals, where keyword-based search often fails to capture thematic relationships or user intent. This article presents an ontology-based framework that augments geoportals with semantic-aware discovery and selection. The contributions are as follows: (1) the geospatial metadata ontology (GMO), which reuses W3C and OGC ontologies…
A conceptual framework for automatic modelling and conflict detection of 3D land-use regulation restrictions to support issuing planning permits
D Cadastre in the Province of Quebec
D Modeling for Mobile Augmented Reality in Unprepared Environment
D geometrical modeling of excavation units at the archaeological site of Tell ‘Acharneh (Syria)
D geometrical modeling of excavation units at the archaeological site of Tell ‘Acharneh (Syria)
D Cadastre in the Province of Quebec
D Modeling for Mobile Augmented Reality in Unprepared Environment
A conceptual framework for automatic modelling and conflict detection of 3D land-use regulation restrictions to support issuing planning permits
A Semantic Collaborative Filtering-Based Recommendation System to Enhance Geospatial Data Discovery in Geoportals
Traditional geoportals depend primarily on keyword-based search, which often fails to retrieve relevant datasets when metadata are heterogeneous, incomplete, or inconsistent with user terminology. This limitation reduces the efficiency of data discovery and selection, particularly in domains where metadata quality varies widely. This study aims to address this challenge by developing a semantic collaborative filtering recommendation system design…
An Automated Workflow for Generating 3D Solids from Indoor Point Clouds in a Cadastral Context
Accurate volumetric modeling of indoor spaces is essential for emerging 3D cadastral systems, yet existing workflows often rely on manual intervention or produce surface-only models, limiting precision and scalability. This study proposes and validates an integrated, largely automated workflow (named VERTICAL) that converts classified indoor point clouds into topologically consistent 3D solids served as materials for land surveyor’s cadastral ana…
Development of an Ontology-Based Framework to Enhance Geospatial Data Discovery and Selection in Geoportals for Natural-Hazard Early Warning Systems
Discovering and selecting relevant geospatial datasets from heterogeneous sources remains difficult in conventional geoportals, where keyword-based search often fails to capture thematic relationships or user intent. This article presents an ontology-based framework that augments geoportals with semantic-aware discovery and selection. The contributions are as follows: (1) the geospatial metadata ontology (GMO), which reuses W3C and OGC ontologies…
3D Modeling in Geospatial Applications (4 obras) · Computer Science (4 obras) · 3D Surveying and Cultural Heritage (3 obras) · Geographic Information Systems Studies (3 obras) · Geospatial analysis (3 obras) · Artificial Intelligence (2 obras) · Cadastre (2 obras) · Data Management and Algorithms (2 obras) · Database (2 obras) · Engineering (2 obras)