Please use this identifier to cite or link to this item:
Title: GOOSE : search on internet of connected sensors
Authors: Azzopardi, George
Keywords: Pattern recognition systems
Machine learning
Internet searching
Issue Date: 2013-07
Publisher: University of Malta
Citation: Azzopardi, G. (2013). GOOSE : search on internet of connected sensors. International Workshop on Brain-Inspired Computing (2013), Cetraro, Italy.
Abstract: TNO is a non-profit research organization founded 80 years ago. The areas of expertise within TNO include technical sciences, behavioural and societal sciences, as well as earth, environmental and life sciences with applications in seven themes: a) healthy living, b) industrial innovation, c) defence, safety and security, d) energy, e) transport and mobility, f) built environment, and g) information society. Pattern recognition and machine learning are active fields of research within TNO. One major project is called GOOSE which has the ambition to provide the capability to search semantically for any relevant information within “all” (including imaging) sensor streams, in near real time, in the entire internet of sensors. The concept is similar to the capability provided by currently available search engines which enable the retrieval of information on “all” pages on the internet.
Description: A PowerPoint presentation delivered by the author at the International workshop on brain-inspired computing, Cetraro, Italy, 2013
Appears in Collections:Scholarly Works - FacICTAI

Files in This Item:
File Description SizeFormat 
GOOSE_search_on_internet_of_connected_sensors_2013.pdf2.46 MBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.