Mental Health Knowledge Graph (MHKG)

The Mental Health Knowledge Graph (MHKG) is a semantic dataset designed to support research in mental health analytics, data integration, and knowledge graph technologies. The dataset integrates mental health indicators, socioeconomic attributes, and behavioral health data to enable multidimensional analysis and semantic querying. The knowledge graph is structured using RDF and Turtle (.ttl) format and consists of two main components: TBox (Ontology Schema):Defines the conceptual structure of the mental health domain, including classes, properties, and relationships among entities such as countries, mental health indicators, and socioeconomic attributes. ABox (Instance Data):Contains instance-level data representing country-level mental health statistics, behavioral indicators, and related socioeconomic information. The dataset is designed to support: Semantic Web research Knowledge Graph construction and analysis SPARQL-based querying Mental health analytics Integration with external linked open data sources MHKG can be used for academic research, data integration experiments, and educational purposes in fields such as Semantic Web, Data Integration, Health Informatics, and Knowledge Graph Engineering.