In this paper we demonstrate how to use an ontology network in order to fill the gap between knowledge and robots' abilities. The demonstration is focused on two components of the knowledge management system of MARIO robots. These components are the MARIO Ontology Network (i.e. MON) that organises knowledge in MARIO and an Object-RDF mapper, called Lizard, that dynamically generates APIs on top of the MON to enable the interaction between software components that implement robot's abilities and the MON itself.

A Knowledge Management System for Assistive Robotics

Luigi Asprino;Aldo Gangemi;Andrea Giovanni Nuzzolese;Valentina Presutti;
2017

Abstract

In this paper we demonstrate how to use an ontology network in order to fill the gap between knowledge and robots' abilities. The demonstration is focused on two components of the knowledge management system of MARIO robots. These components are the MARIO Ontology Network (i.e. MON) that organises knowledge in MARIO and an Object-RDF mapper, called Lizard, that dynamically generates APIs on top of the MON to enable the interaction between software components that implement robot's abilities and the MON itself.
2017
Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th ESWC (ANSWER 2017)
46
50
Luigi Asprino, Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti, Alessandro Russo
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/624045
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact