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cs.LG2024
Anomaly Detection and Classification in Knowledge Graphs
Asara Senaratne, Peter Christen, Pouya Omran +1
Anomalies such as redundant, inconsistent, contradictory, and deficient values in a Knowledge Graph (KG) are unavoidable, as these graphs are often curated manually, or extracted u…
cs.IR2024★ 2 cited
Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph
Runsong Jia, Bowen Zhang, Sergio J. Rodríguez Méndez +1
The proposed research aims to develop an innovative semantic query processing system that enables users to obtain comprehensive information about research works produced by Compute…