Search Results for author:
Found 8 papers, 1 papers with code
Uncovering Values: Detecting Latent Moral Content from Natural Language with Explainable and Non-Trained Methods
Moral values as commonsense norms shape our everyday individual and community behavior.
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
ISWS 2023 explored various intersections between Semantic Web technologies and creative AI.
Neurosymbolic Graph Enrichment for Grounded World Models
We introduce a method and a tool for creating a multimodal, knowledge-augmented formal representation of meaning that combines the strengths of large language models with structured semantic representations.
Explainable Moral Values: a neuro-symbolic approach to value classification
By relying on an ontological formalization of moral values as in the Moral Foundations Theory, relying on the DnS Ontology Design Pattern, the \textit{sandra} neuro-symbolic reasoner is used to infer values (fomalized as descriptions) that are \emph{satisfied by} a certain sentence.
Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations
This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning.
EFO: the Emotion Frame Ontology
In this paper, we propose an OWL frame-based ontology of emotions: the Emotion Frames Ontology (EFO).
That's All Folks: a KG of Values as Commonsense Social Norms and Behaviors
Values, as intended in ethics, determine the shape and validity of moral and social norms, grounding our everyday individual and community behavior on commonsense knowledge.
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
