Machine Learning Methods and Technologies for Ubiquitous Computing

Machine Learning Methods and Technologies for Ubiquitous Computing

Proceedings of AI*IA 2012 Doctoral Consortium - JUN-2012

Authors

Pinto Agnese, Di Sciascio Eugenio, Ruta Michele

Abstract

We propose a ubiquitous learning approach useful not only to acquire knowledge in the traditional educational meaning, but also to solve cross-environment everyday problems. By formalizing user request and profile through logic-based knowledge representation languages, a lightweight but semantically meaningful matchmaking process is executed in order to retrieve the most suitable learning resources. Standard formats for distribution of learning objects is extended in a backward-compatible way to support semantic annotations in our framework. Framework and algorithms are absolutely general purpose, nevertheless an application has been developed where the semantic-based Bluetooth/RFID discovery protocols devised in previous work, support users –equipped with an handheld device– to discover learning objects satisfying their needs in a given environment.

Download: Pinto_et_al_AIxIA2012DC.pdf

DOI

https://doi.org/10.4018/978-1-60566-703-4.ch002

BibTex references

@InProceedings{PDR12,
  author       = "Pinto, Agnese and Di Sciascio, Eugenio and Ruta, Michele",
  title        = "Machine Learning Methods and Technologies for Ubiquitous Computing",
  booktitle    = "Proceedings of AI*IA 2012 Doctoral Consortium",
  series       = "CEUR Workshop Proceedings",
  volume       = "926",
  pages        = "38--42",
  month        = "jun",
  year         = "2012",
  editor       = "Liberatore P., Lombardi M., Scioscia F.",
  publisher    = "CEUR-WS",
  url          = "http://sisinflab.poliba.it/Publications/2012/PDR12"

}