BARIUM5G – Blockchain and ARtificial Intelligence for Ubiquitous coMputing via 5G

BARIUM5G – Blockchain and ARtificial Intelligence for Ubiquitous coMputing via 5G

6th Italian Conference on ICT for Smart Cities And Communities (I-CiTies 2020) - -2020

Authors

Loseto Giuseppe, Scioscia Floriano, Pinto Agnese, Gramegna Filippo, Ieva Saverio, Ruta Michele, Di Sciascio Eugenio

Abstract

The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT). It aims to enable smart semantic-enabled applications and services in ubiquitous contexts. Due to architectural and performance issues, it is currently impractical to use existing Semantic Web reasoners. They are resource consuming and are basically optimized for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick decision support through semantic matchmaking in resource-constrained environments. This paper presents Mini-ME, a novel mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios are presented and an experimental performance evaluation is provided both on a PC testbed (against other popular Semantic Web reasoners) and on a smartphone.

Download: loseto_et_al_iCiTies2020.pdf

DOI

https://doi.org/10.4018/978-1-4666-8751-6.ch042

BibTex references

@InProceedings{LSPGIRD20,
  author       = "Loseto, Giuseppe and Scioscia, Floriano and Pinto, Agnese and Gramegna, Filippo and Ieva, Saverio and Ruta, Michele and Di Sciascio, Eugenio",
  title        = "BARIUM5G - Blockchain and ARtificial Intelligence for Ubiquitous coMputing via 5G",
  booktitle    = "6th Italian Conference on ICT for Smart Cities And Communities (I-CiTies 2020)",
  year         = "2020",
  url          = "http://sisinflab.poliba.it/Publications/2020/LSPGIRD20"

}