Typicality-Based Inference by Plugging Conceptual Spaces Into Ontologies
Contributo in Atti di convegno
Data di Pubblicazione:
2013
Abstract:
In this paper we present a cognitively inspired system for the representation of conceptual information in an ontology-based envi- ronment. It builds on the heterogeneous notion of concepts in Cognitive Science and on the so-called dual process theories of reasoning and ra- tionality, and it provides a twofold view on the same artificial concept, combining a classical symbolic component (grounded on a formal on- tology) with a typicality-based one (grounded on the conceptual spaces framework). The implemented system has been tested in a pilot experi- mentation regarding the classification task of linguistic stimuli. The re- sults show that this modeling solution extends the representational and reasoning “conceptual” capabilities of standard ontology-based systems.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Ontologies; conceptual retrieval; Conceptual spaces; ontological reasoning; prototype theory; categorizzazione
Elenco autori:
Leo, Ghignone; Lieto, Antonio; Radicioni, DANIELE PAOLO
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Link al Full Text:
Titolo del libro:
Proceedings of the First International Workshop on Artificial Intelligence and Cognition (AIC 2013)
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