A Lightweight Matchmaking Engine for the Semantic Web of Things

A Lightweight Matchmaking Engine for the Semantic Web of Things

21th Italian Symposium on Advanced Database Systems (SEBD 2013) - JUN-2013

Authors

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

Abstract

The Semantic Web of Things (SWoT) aims to support smart semantics-enabled applications and services in pervasive contexts. Due to architectural and performance issues, most Semantic Web reasoners are often impractical to be ported: they are resource consuming and are basically designed 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 describes Mini-ME (the Mini Matchmaking Engine), a 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, bonus, difference) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios and experimental performance evaluation are presented on PC (against other popular Semantic Web reasoners), smartphone and embedded single-board computer testbeds.

Download: gramegna_et_al_SEBD2013.pdf

DOI

https://doi.org/10.4018/978-1-5225-5042-6.ch010

BibTex references

@InProceedings{GILRSD13,
  author       = "Gramegna, Filippo and Ieva, Saverio and Loseto, Giuseppe and Ruta, Michele and Scioscia, Floriano and Di Sciascio, Eugenio",
  title        = "A Lightweight Matchmaking Engine for the Semantic Web of Things",
  booktitle    = "21th Italian Symposium on Advanced Database Systems (SEBD 2013)",
  pages        = "103--114",
  month        = "jun",
  year         = "2013",
  editor       = "Francesco Buccafurri, Domenico Sacc\`a",
  url          = "http://sisinflab.poliba.it/Publications/2013/GILRSD13"

}