@article{li_constructing_2025,
	title = {Constructing a {Multi}-{Dimensional} {Ontology}-{Driven} {Digital} {User} {Profile}: {A} {Case} {Study} {From} the {POAS} {Project}},
	volume = {52},
	copyright = {https://creativecommons.org/licenses/by/4.0/},
	issn = {0943-7444, 2942-3309},
	shorttitle = {Constructing a {Multi}-{Dimensional} {Ontology}-{Driven} {Digital} {User} {Profile}},
	url = {https://www.imrpress.com/journal/KO/52/6/10.31083/KO39681},
	doi = {10.31083/KO39681},
	abstract = {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.},
	language = {en},
	number = {6},
	urldate = {2025-11-18},
	journal = {Knowledge Organization},
	author = {Li, Yang and Yan, Chengxi and Shu, Fei},
	month = oct,
	year = {2025},
	pages = {39681},
}

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