Focus
This assignment addresses retaining wall system from a functional and application-driven perspective, with particular attention to drainage, soil retention, erosion control, and flood mitigation.
Objective
The main objective was to construct an ontology that supports retaining wall design and analysis under challenging environmental conditions such as heavy rainfall, flooding, landslides, and urban infrastructure constraints.
Method
The ontology models retaining wall types, materials, loads, functions, and substructures using class hierarchies and logical axioms. Real-world engineering scenarios—including riverbank protection, highway embankments, and landslide-prone hilly terrain—were used to demonstrate how ontology-based reasoning supports material selection, wall type identification, and drainage system configuration.
Outcome & Relevance
This work highlights the practical value of ontologies as decision-support tools for infrastructure planning in vulnerable regions. By linking functional requirements with structural solutions, the model enhances design robustness and supports safer, more resilient retaining wall systems.