Semantic Maps for Knowledge Graphs: A Semantic-Based Summarization Approach
Pablo Camarillo-Ramirez,
Francisco Cervantes-Alvarez,
Luis Fernando Gutiérrez-Preciado
Abstract:Knowledge Graphs (KGs) have emerged as a powerful tool for representing semantic structured information and enabling the development of intelligent systems. This paper focuses on the generation of semantic maps as summarization method for KGs. We propose a strategy that utilizes centroidbased clustering algorithms, namely Affinity Propagation and Partitioning Around Medoids (PAM), to capture the semantic distance between nodes in the KG and generate meaningful clusters. Our experiments demonstrate divergent re… Show more
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