Addiction Nexus – RDF Knowledge Graph (TBox + ABox)

This dataset provides the updated Addiction Nexus Knowledge Graph (ADNXKG) in RDF/Turtle (.ttl) format, encompassing both the TBox (ontology/schema) and ABox (instance data). Building on the previous version, this v2.0 release includes 2,305,987 RDF triples, an increase from the initial dataset, and integrates 50,000 records of addiction determinants sourced from Zenodo. The graph is QB4OLAP-compliant, modeling hierarchical dimensions (Country, Lifestyle, Mental Health, Occupation, Gender) and measures (e.g., Age, Stress Levels, Smoker Counts, Alcohol Consumption) to support multidimensional OLAP analytics. New features include enhanced socioeconomic correlations (e.g., 788 smokers in low-education cohorts) and OWL connectivity validated via SPARQL (e.g., owl:sameAs links to Wikidata). The dataset is designed for OLAP operations (roll-up, drill-down, slice, dice), knowledge graph exploration, and FAIR-compliant reuse, achieving 91.67% FAIR compliance as detailed in the associated paper [DOI to be inserted]. Key updates include refined TBox semantics, additional ABox instances reflecting recent analysis (August 2025), and alignment with the paper’s findings on performance and scalability (sub-second response times across 10,000–200,000 triples). The file is intended for researchers in addiction analytics, semantic web technologies, and data-driven health interventions.