Sub-Symbolic Knowledge Representation for Evocative Chat-Bots (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Sub-Symbolic Knowledge Representation for Evocative Chat-Bots (Contributo in atti di convegno) (literal)

Anno

• 2008-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1007/978-3-7908-2010-2_42 (literal)

Alternative label

• Pilato Giovanni, Augello Agnese, Vassallo Giorgio, Gaglio Salvatore (2008)
  Sub-Symbolic Knowledge Representation for Evocative Chat-Bots
  in Proc of. ItAIS 2007, IV Conference of the Italian Chapter of AIS, The Interdisciplinary Aspects of Information Systems Studies, Venice
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pilato Giovanni, Augello Agnese, Vassallo Giorgio, Gaglio Salvatore (literal)

Pagina inizio

• 343 (literal)

Pagina fine

• 349 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Interdisciplinary Aspects of Information Systems Studies (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• VII (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR; DINFO; DINFO; DINFO (literal)

Titolo

• Sub-Symbolic Knowledge Representation for Evocative Chat-Bots (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-3-7908-2009-6 (literal)

Abstract

• A sub-symbolic knowledge representation oriented to the enhancement of chat bot interaction is proposed. The result of the technique is the introduction of a semantic sub-symbolic layer to a traditional ontology-based knowledge representation. This layer is obtained mapping the ontology concepts into a semantic space built through Latent Semantic Analysis (LSA) technique and it is embedded into a conversational agent. This choice leads to a chat-bot with \"evocative\" capabilities whose knowledge representation framework is composed of two areas: the rational and the evocative one. As a standard ontology we have chosen the well-founded WordNet lexical dictionary, while as chat-bot the ALICE architecture. Experimental trials involving four lexical categories of WordNet have been conducted, and an example of interaction is shown at the end of the paper. (literal)

Editore

• Physica Verlag (Editore)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• F.A.C.I.L.E. - Framework ad agenti cognitivi per la gestione e fruizione intelligente di informazioni sensoriali, conoscenze e servizi avanzati (ICT.P08.003.001) (Modulo)

Autore CNR

• GIOVANNI PILATO (Unità di personale interno)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• F.A.C.I.L.E. - Framework ad agenti cognitivi per la gestione e fruizione intelligente di informazioni sensoriali, conoscenze e servizi avanzati (ICT.P08.003.001) (Modulo)

Autore CNR di

• GIOVANNI PILATO (Unità di personale interno)

Editore di

• Physica Verlag (Editore)