Sub-symbolic mapping of Cyc microtheories in data-driven "conceptual" spaces

  • Authors:
  • Giovanni Pilato;Agnese Augello;Mario Scriminaci;Giorgio Vassallo;Salvatore Gaglio

  • Affiliations:
  • Italian National Research Council, Palermo, Italy;DINFO, University of Palermo, Palermo, Italy;DINFO, University of Palermo, Palermo, Italy;DINFO, University of Palermo, Palermo, Italy;Italian National Research Council, Palermo, Italy and DINFO, University of Palermo, Palermo, Italy

  • Venue:
  • KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
  • Year:
  • 2007

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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 subsymbolic 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 microtheory. Experimental results involving two Cyc microtheories are also reported.