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Property-based Semantic Similarity: What Counts?

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Abstract:
Similarity, one of six Gestalt principles, is one of the most intuitive ways to perceive the world and categorise the objects surrounding us. The notion of similarity plays an important role in many areas, and it is important to simulate human perception of similarity in order to obtain satisfying results in various applications. We draw our inspiration from Tversky’s work on similarity and de- fine property-based similarity for ontological concepts taking into account their common and distinctive features and their values. We also discuss some possible ways to improve the property-based similarity
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Similarity, properties, ontology
Elenco autori:
Likavec, Silvia; Cena, Federica
Autori di Ateneo:
CENA Federica
Link alla scheda completa:
https://iris.unito.it/handle/2318/1579272
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1579272/178851/AIC15-SIM-final.pdf
Titolo del libro:
Proceedings of the 3rd International Workshop on Artificial Intelligence and Cognition, AIC '15
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
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URL

http://ceur-ws.org/Vol-1510/paper10.pdf
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