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Towards an Evolutionary Epistemology of Ontology Learning

Seminar held by Prof. Andrea G. B. Tettamanzi on Thursday, October 10 at 10h


10/10/2019   :   10h00
MSI (Salle des séminaires) 1361 Route des Lucioles, 06560 Valbonne, France
 Speaker: Prof. Andrea G. B. Tettamanzi (UNS)
Publication : 10/10/2019
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Speaker: Prof. Andrea G. B. Tettamanzi (I3S Laboratory)

Abstract: One valuable contribution to our understanding of the problem of induction was made by Karl Popper, who described our never-ending quest for knowledge as an evolutionary process, whereby theories are generated through a process which lies outside Logic and are then subjected to rigorous and severe tests; only theories that manage to successfully overcome such tests survive. In a sense, this is the continuation of a natural process, namely natural selection, in which theories are embodied in organisms and organisms who follow "incorrect" theories become extinct. In this talk I will discuss how we might draw inspiration from this insight to come up with a principled approach to ontology learning and knowledge base enrichment in the context of the semantic Web, which may be viewed as a special case of knowledge discovery from data (KDD), where the data are in the form of RDF triples and knowledge is to be described in terms of OWL axioms. Indeed, the task of discovering axioms from a finite, albeit huge, set of known facts is a form of inductive reasoning, in that it proceeds from particular instances of concepts and relations (the RDF triples) to broader generalizations (the OWL axioms); as such, it raises epistemological problems which, as I will argue, an evolutionary approach can contribute to solve.