lastin-ai-2/papers/2502_05110v1.json

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{
"title": "ApplE: An Applied Ethics Ontology with Event Context",
"authors": [
"Aisha Aijaz",
"Raghava Mutharaju",
"Manohar Kumar"
],
"abstract": "Applied ethics is ubiquitous in most domains, requiring much deliberation due\nto its philosophical nature. Varying views often lead to conflicting courses of\naction where ethical dilemmas become challenging to resolve. Although many\nfactors contribute to such a decision, the major driving forces can be\ndiscretized and thus simplified to provide an indicative answer. Knowledge\nrepresentation and reasoning offer a way to explicitly translate abstract\nethical concepts into applicable principles within the context of an event. To\nachieve this, we propose ApplE, an Applied Ethics ontology that captures\nphilosophical theory and event context to holistically describe the morality of\nan action. The development process adheres to a modified version of the\nSimplified Agile Methodology for Ontology Development (SAMOD) and utilizes\nstandard design and publication practices. Using ApplE, we model a use case\nfrom the bioethics domain that demonstrates our ontology's social and\nscientific value. Apart from the ontological reasoning and quality checks,\nApplE is also evaluated using the three-fold testing process of SAMOD. ApplE\nfollows FAIR principles and aims to be a viable resource for applied ethicists\nand ontology engineers.",
"pdf_url": "http://arxiv.org/pdf/2502.05110v1",
"entry_id": "http://arxiv.org/abs/2502.05110v1",
"categories": [
"cs.CY",
"cs.AI"
]
}