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Jiaoyan Chen

2 papers indexed

arxivcs.AI2026-07-17

NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning

Hui Yang, Jiaoyan Chen, Yiping Song, Renate Schmidt, Wen Zhang

OWL ontologies provide a formal knowledge representation framework that enables semantic reasoning, and have been widely adopted across domains such as healthcare and bioinformatics. In practice, however, real-world ontologies are often incomplete, which pose challenges for reaso…

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arxivcs.DBcs.AIcs.CLcs.IR2026-06-26

Single and Multi Truth Data Fusion using Large Language Models

Hira Beril Kucuk, Norman W Paton, Jiaoyan Chen, Zhenyu Wu

Data fusion, also known as truth discovery, is a data integration problem that aims to determine the correct value or set of values for each attribute of an object when presented with potentially conflicting values from multiple sources. Data fusion tasks belong to two main categ…

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