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Reasoning within expressive fuzzy rough description logics. [PDF]
Jiang Y, Wang J, Deng P, Tang S.
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Description Logics (DLs, for short) allow reasoning about individuals and concepts, i.e. set of individuals with common properties. Typically, DLs are limited to dealing with crisp, well defined concepts. That is, concepts for which the problem whether an individual is an instance of it is a yes/no question.
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Reducing Fuzzy Description Logics into Classical Description Logics
In this paper we consider Description Logics (DLs), well-known logics for managing structured knowledge, with its fuzzy extension to deal with vague information. While for fuzzy DLs correct and complete ad-hoc reasoning procedures have been given, the topic of this paper is to present a reasoning preserving transformation of fuzzy DLs into classical ...
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An ontological model for the integration of cultural heritage information: CIDOC-CRM
The article aims at presenting the formal ontology CIDOC-Conceptual Reference Model, used for allowing information and documentation exchange and integration into the diverse sources of cultural heritage, and which is the leading ontology in the field ...
Maria Teresa Biagetti
doaj
How do hospital goals resonate with leaders, clinicians, managers, and patient and family partners? A critical discourse analysis of institutional logics. [PDF]
Majid U, Kuluski K, Kontos P, Gray CS.
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Honneth's dialectical shortcoming: understanding Honneth's problem with power. [PDF]
Rutherford M.
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Peer Support Workers in Mental Health Care: Plural Positionings Beyond Transformation and Assimilation Dichotomy. [PDF]
Aquili L +6 more
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How to crip your sign language linguistic theory. [PDF]
Hou L, Namboodiripad S.
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AgentMD: Empowering language agents for risk prediction with large-scale clinical tool learning. [PDF]
Jin Q +13 more
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