Authors:
Antonio Lieto
1
;
Andrea Minieri
2
;
Alberto Piana
2
;
Daniele P. Radicioni
2
and
Marcello Frixione
3
Affiliations:
1
Università di Torino and ICAR-CNR, Italy
;
2
Università di Torino, Italy
;
3
Università di Genova, Italy
Keyword(s):
Knowledge Representation, Formal Ontologies, Conceptual Spaces, Common Sense Reasoning, Dual Process Theory, Prototypical Reasoning.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Natural Language Processing
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Pattern Recognition
;
Symbolic Systems
Abstract:
In this work we present an ontology-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the representational and reasoning capabilities of classical ontological-based systems towards more realistic and cognitively grounded scenarios, such as those envisioned by the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality-based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science and the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorization task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution su
bstantially improves on the representational and reasoning "conceptual" capabilities of standard ontology-based systems.
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