Abstract
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 originale | English |
|---|---|
| Titolo della pubblicazione ospite | Interdisciplinary Aspects of Information Systems Studies |
| Pagine | 343-349 |
| Numero di pagine | 6 |
| Stato di pubblicazione | Published - 2008 |
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All Science Journal Classification (ASJC) codes
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
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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)