LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data

LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data

Clustering methods are instrumental in the preliminary analysis of unstructured data, yet interpreting the resulting groups—-especially in the context of RDF (Resource Description Framework) data—-poses significant challenges. This paper introduces LISE (Logic-based Interactive...

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Bibliographic Details
Main Authors: Simona Colucci, Francesco Maria Donini, Verdiana Schena, Floriano Scioscia, Eugenio Di Sciascio
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Knowledge graph embeddings
resource description framework
interactive clustering
user interaction
natural language generation
explainable artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/11007163/
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https://ieeexplore.ieee.org/document/11007163/

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