2020
DOI: 10.3233/ssw48
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Engineering Background Knowledge for Social Robots

Abstract: Riconosco che questo questo lavoroè frutto di un percorso iniziato molti anni fa sui banchi di scuola e se oggi presento una tesi di dottorato lo devo a molte persone. Vorrei iniziare dai miei genitori perchè i loro sforzi mi hanno permesso di studiare in tutta tranquillità e perchè hanno sempre creduto in me e mi hanno incoraggiato in quello che facevo. Vorrei ringraziare le mie sorelle Rosa e Paola insieme con i loro mariti che mi hanno pazientemente sopportato durante gli anni di università. Sfrutto questa … Show more

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Cited by 1 publication
(2 citation statements)
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References 133 publications
(227 reference statements)
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“…(ii) Data collection. We have enriched the collection of 10 papers identified in a previous analysis [4] with a systematic analysis of all the issues of the International Journal of Social Robotics (IJSR). We analysed IJSR papers in order to select all the papers presenting social robotics solutions.…”
Section: Commonalities Of Software Architectures For Social Robotsmentioning
confidence: 99%
See 1 more Smart Citation
“…(ii) Data collection. We have enriched the collection of 10 papers identified in a previous analysis [4] with a systematic analysis of all the issues of the International Journal of Social Robotics (IJSR). We analysed IJSR papers in order to select all the papers presenting social robotics solutions.…”
Section: Commonalities Of Software Architectures For Social Robotsmentioning
confidence: 99%
“…Stanford's CoreNLP [62]) for dialoguing with users [73]. Behaviors and Capabilities rely on a Knowledge Management Framework [4,7] consisting of a triple store (accessible through Apache Jena 10 and initially populated with Linguistic and Common Sense Knowledge [5,45]) and an Object-Ontology Mapper called Lizard 11 [4]. Finally, the Semantic Bus is based on the Event Admin Service provided by Apache Felix 12 which also provides the OSGi implementation that enables the Hot-Deploy mechanism.…”
Section: Case Studymentioning
confidence: 99%