Machine Learning Methods and Technologies for Ubiquitous Computing
Proceedings of AI*IA 2012 Doctoral Consortium - JUN-2012
, Di Sciascio Eugenio
, Ruta Michele
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.
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"