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sabato, 26 settembre 2020

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Dettagli Pubblicazione
Autori:Laura Giordano
Daniele Theseider Dupré
Area Scientifica:Artificial Intelligence
Knowledge Representation
Titolo:A framework for a modular multi-concept lexicographic closure semantics
Apparso su:TR-INF-2020-09-03-UNIPMN
Editore:DiSIT, Computer Science Institute, UPO
Anno:2020
Tipo Pubblicazione:Technical Report
URL:https://arxiv.org/abs/1905.03855
Sommario:We define a modular multi-concept extension of the lexicographic closure semantics for defeasible description logics with typicality. The idea is that of distributing the defeasible properties of concepts into different modules, according to their subject, and of defining a notion of preference for each module based on the lexicographic closure semantics. The preferential semantics of the knowledge base can then be defined as a combination of the preferences of the single modules. The range of possibilities, from fine grained to coarse grained modules, provides a spectrum of alternative semantics.