Sub-Symbolic Knowledge Representation for Evocative Chat-bots

Salvatore Gaglio, Giorgio Vassallo, Giovanni Pilato, Salvatore Gaglio, Agnese Augello

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The proposed work illustrates how “primitive concepts”can be automatically induced from a text corpus. The pri-mitive concepts are identified by the orthonormal axis of a“conceptual” space induced by a methodology inspired tothe Latent Semantic Analysis approach. The methodologyrepresents a natural language sentence by means of a setof rotations of an orthonormal basis in the “conceptual”space. The rotations, triggered by the sequence of wordscomposing the sentence and realized by means of Geomet-ric Algebra rotors, allow to highlight “conceptual” rela-tions that can arise among the primitive concepts.
Lingua originaleEnglish
Titolo della pubblicazione ospiteInterdisciplinary Aspects of Information Systems Studies
Numero di pagine6
Stato di pubblicazionePublished - 2008


All Science Journal Classification (ASJC) codes

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

Cita questo

Gaglio, S., Vassallo, G., Pilato, G., Gaglio, S., & Augello, A. (2008). Sub-Symbolic Knowledge Representation for Evocative Chat-bots. In Interdisciplinary Aspects of Information Systems Studies (pagg. 343-349)