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Semantic Web

4 items

RESEARCHarXiv CS.AI·4/15/2026

WiseOWL: A Methodology for Evaluating Ontological Descriptiveness and Semantic Correctness for Ontology Reuse and Ontology Recommendations

WiseOWL proposes a systematic methodology with scoring and guidance for selecting ontologies for reuse, addressing the challenge of inconsistent selection criteria. It evaluates four key metrics—documentation, label-definition alignment (using state-of-the-art embeddings), interconnectedness, and hierarchical balance—providing normalized scores and actionable feedback.

Ontology ReuseOntology EvaluationMachine LearningSemantic Web
27
RESEARCHarXiv CS.AI·22d ago

Scalable Uncertainty Reasoning in Knowledge Graphs

This research proposes a modular framework to address scalable uncertainty reasoning in Knowledge Graphs, where real-world data often inherently contains uncertainty. It tackles three levels of uncertainty—imprecise attributes, probabilistic triple existence, and incomplete schema knowledge—through tailored techniques like probabilistic literals, probabilistic circuits, and geometric embeddings.

Uncertainty Reasoningknowledge graphsProbabilistic ModelsSemantic Web
27