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Abstract 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. The attempt to untangle human moral and social value-oriented structure of relations requires investigating both the dimension of subjective human perception of the world, and socio-cultural dynamics and multi-agent social interactions. Formalising latent moral content in human interaction is an appealing perspective that would enable a deeper understanding of both social dynamics and individual cognitive and behavioral dimension. To formalize this broad knowledge area, in the context of ValueNet, a modular ontology representing and operationalising moral and social values, we present two modules aiming at representing two main informal theories in literature: (i) the Basic Human Values theory by Shalom Schwartz and (ii) the Moral Foundations Theory by Graham and Haidt. ValueNet is based on reusable Ontology Design Patterns, is aligned to the DOLCE foundational ontology, and is a component of the Framester factual-linguistic knowledge graph.
Ethics & AI, Knowledge Representation, Ethics & AI, Commonsense Reasoning; Ethics & AI; Frame Semantics; Knowledge Representation; Moral Values, Frame Semantics, Moral Values, Commonsense Reasoning
Ethics & AI, Knowledge Representation, Ethics & AI, Commonsense Reasoning; Ethics & AI; Frame Semantics; Knowledge Representation; Moral Values, Frame Semantics, Moral Values, Commonsense Reasoning
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