Replication Data for Intelligent Semantic Adaptation Framework for Indonesian Wellbeing-Sensitive Academic Mobile Interfaces

# Replication Data for: Intelligent Semantic Adaptation Framework for Indonesian Wellbeing-Sensitive Academic Mobile Interfaces

**Authors:** Bhanu Sri Nugraha, et al.**Year:** 2025/2026 (Upcoming)

## OverviewThis repository contains the supplementary materials, source code, and validation artifacts for the research paper "Intelligent Semantic Adaptation Framework for Indonesian Wellbeing Sensitive in Academic Mobile Interfaces".

## File Description

### 1. Semantic Assets (CIM Layer)* **iws_ontology.ttl**: The core OWL ontology file (Turtle format) representing the Indonesian Wellbeing Scale dimensions. Open this using Protégé.* **IWS Ontology Documentation - Extended Taxonomy.pdf**: Detailed documentation of the class hierarchy, object properties, and semantic rules used in the framework.

### 2. Computational Code (PIM Layer)* **Computational Code and Requirements.py**: Python script implementing the IS-AUI algorithm, including Random Forest (Perception) and Contextual Bandits (Decision). This script generates the "Stability Graph" (Fig. 4).* **WebPage - ClientApp - V6.txt**: Source code for the frontend mobile application (Edge Side).* **WebPage - Dashboard - V6.txt**: Source code for the admin dashboard (Cloud Side).

### 3. Validation Artifacts* **validation_queries.rq**: The raw SPARQL scripts used for Functional Validation (Table 3 in the manuscript).* **SPARQL VALIDATION REPORT.pdf**: The execution results of the competency questions proving semantic traceability.* **HermiT_Consistency_Log.txt**: (See Section 3 below) Proof of logical consistency check.

### 4. Datasets* **Synthetic Datasets Generator.py**: Python script used to generate the pre-deployment training data.* **synthetic_user_logs_sample.csv**: A sample of the generated data (100 rows) showing the structure of input U_t.