Purpose/Significance To develop an ontology-based population sample profile conceptual model，and to provide a unified semantic foundation for sample feature-driven scale matching and evidence recommendation. Method/Process Based on domain scien. tific and technological literatures, reusing part of classes of the existing upper-level ontologies，the conceptual model of sample profile is designed by adopting the seven-step ontology engineering approach. Research papers on interoceptive function assessment tools are se.lected as the corpus source to conduct model coverage evaluation. Result/Conclusion The population sample profile ontology(PSPO) with 58 classes，14 object properties，and 20 data properties is constructed. PSPO provides a structured framework for standardized sample information organization and semantic alignment，supporting sample element extraction，sample-based scale matching and evi. dence literature recommendation.