Constructing a Multi-Dimensional Ontology-Driven Digital User Profile: A Case Study From the POAS Project

This study presents a new framework for building rich, digital profiles of Chinese researchers by using ontology technology to organize and connect information from various online sources. The system, called POAS (Persona-of-a-Scientist), combines semantic technologies, natural language processing, and linked data standards to bring together scattered academic data into a structured and accessible knowledge base. Key elements of scholar profiles were identified through interviews and literature reviews, providing a strong foundation for the model. The platform supports open access, semantic search, and personalized recommendations, helping to improve data sharing, academic collaboration, and the development of intelligent, knowledge-based research services.