The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of sub-symbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wants to insert in the rnicrotheory. Experimental results involving two Cyc microtheories are also reported.

Sub-Symbolic Mapping of Cyc Microtheories in Data-Driven Conceptual Spaces

Pilato Giovanni;Augello Agnese;Gaglio Salvatore;
2007

Abstract

The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of sub-symbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wants to insert in the rnicrotheory. Experimental results involving two Cyc microtheories are also reported.
2007
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
11th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2007) XVII Italian Workshop on Neural Networks
156
163
978-3-540-74817-5
Sì, ma tipo non specificato
12-14 September 2007
Vietri sul Mare, Italy
data-driven conceptual spaces
ontologies
Cyc
5
none
Pilato, Giovanni; Augello, Agnese; Vassallo, Giorgio; Gaglio, Salvatore; Scriminaci, Mario
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/118944
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