Recognizing and explaining nexus of similarities between entities is a crucial task that arises in numerous real-life scenarios. Understanding why a group of individuals shares a certain disease or why some products may be more appealing than others are natural examples. Over the last thirty years, a variety of logic-based approaches have been proposed to address this task. However, despite these efforts, there is a gap in available systems capable of exploiting real-world knowledge bases. In response to this gap, the paper presents neXSim, a prototypical web platform based on a recent logic-based framework explicitly designed to be suitable for a practical and effective implementation. This platform, instantiated over BabelNet 4.0, is capable of exploiting very large knowledge bases on-the-fly and in real-time, while providing formal, concise, and human-readable explanations.
neXSim: A System for Explaining Nexus of Similarities✶
Amendola G.;Cofone P.;Manna M.;Ricioppo A.
2025-01-01
Abstract
Recognizing and explaining nexus of similarities between entities is a crucial task that arises in numerous real-life scenarios. Understanding why a group of individuals shares a certain disease or why some products may be more appealing than others are natural examples. Over the last thirty years, a variety of logic-based approaches have been proposed to address this task. However, despite these efforts, there is a gap in available systems capable of exploiting real-world knowledge bases. In response to this gap, the paper presents neXSim, a prototypical web platform based on a recent logic-based framework explicitly designed to be suitable for a practical and effective implementation. This platform, instantiated over BabelNet 4.0, is capable of exploiting very large knowledge bases on-the-fly and in real-time, while providing formal, concise, and human-readable explanations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
